The Taxbit Data Analyst interview guide, interview questions, salary data, and interview experiences.

Taxbit Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Taxbit? The Taxbit Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Taxbit Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Taxbit.</li>
<li>Practice real Taxbit Data Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Taxbit Data Analyst interview.


Getting ready for an Data Analyst interview at Taxbit? The Taxbit Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Taxbit Data Analyst roles.
- Gain insights into the Data Analyst interview process at Taxbit.
- Practice real Taxbit Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Taxbit Data Analyst interview.
        

Overview

Taxbit Data Analyst Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Taxbit Data Analyst Interview Process

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

Let’s say that you’re a data scientist at Robinhood. 

How do we measure the launch of Robinhood’s fractional shares program?

Let’s say you are a data scientist at Robinhood.

Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.

Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood’s platform for new users?

Let's say you are a data scientist at Robinhood. 



Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.



Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood's platform for new users?

Fractional Shares Metrics

Fractional Shares

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

Taxbit Data Analyst Interview Questions

Job Summary:Reporting to the CDEP management team, this is a professional position requiring significant judgment and assistance in the administration and planning of CDEP's operating budgets. This position requires strong communication, analytical, technical, and problem-solving skills; the individual must be adept at turning data into information, information into insight, and insight into program decisions. The position is contingent upon external funding.Duties and Responsibilities:List the primary job duties and responsibilities:* In collaboration with FVSU Accounting Services, review expenditures and other transactions for compliance with University, Board of Regents, State, Federal, and other policies and procedures as applicable* Reconcile/review accounts on a timely basis!* Interpret data, analyze results using statistical techniques and provide ongoing reports to managers and other internal and external parties as required.* Perform regular analysis of budget to actual expenditures.* Forecast budgetary requirements and implement management actions to maintain a balanced budget for CDEP.* Assist in the preparation of budgets and budget amendments for CDEP.* Assist with the pre-collegiate/collegiate recruiting efforts for the CDEP Program* Perform other duties as assigned by the CDEP Director and/or Assistant CDEP DirectorQualifications:Minimum:* Minimum of three years' work experience in accounting, finance, or business-related field* Proficiency in the use of Microsoft Excel and Word* Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy* Excellent record-keeping skills* Ability to work independently with minimal supervision.Preferred:* Bachelor's degree in accounting, business, finance, or a related field* Governmental and /or grants accounting experienceWorking Conditions:* Travel (although minimal) may be required for training and other activities.* May require working beyond normal working hours as business needs dictate.* Majority of work is performed indoors in a climate-controlled environment.Physical Requirements:* Ability to sit for extended periods of time.* Ability to lift 10 lbs.* Normal hand dexterityUSG Core Values StatementThe University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conductAdditionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

Job Description Join the Lockheed Martin Chief Digital & AI Office's Digital Solutions and External Engagement team as part of the Digital Asset Enablement (DAE) team. We're on the leading edge of commercializing dual-use software and enabling data-driven business models. As a member of our team, you'll be at the forefront of innovation, helping to identify new opportunities and drive growth. As a Data Analyst, your responsibilities will include: - Conducting market research to identify trends and opportunities - Evaluating Dual-Use Data & AI technologies - Developing business plans and market strategies for such technologies - Evaluating DoD and commercial software acquisition market sizing and acquisition trends - Using Business Intelligence and data analysis tools, such as PowerBI, to inform business decisions - Designing and developing PowerApps and Dynamics CRM solutions What's In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Our Commitment to Diversity and Inclusion We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking. Our global commitment to diversity and inclusion reflects our values of doing what's right, respecting others and performing with excellence. Learn more here: Global DEI. Basic Qualifications You'll have strong business acumen and be an analytical powerhouse. You should be comfortable working across disciplines, including business development, corporate strategy, engineering, and information technology. - Bachelor's degree in a relevant field of studies - 2 years or more of professional experience, or project experience in finance, business, market research, planning, and/or data analytics. - Excellent communication and interpersonal skills, capable of working effectively with cross-functional teams Desired skills - M.B.A. or M.S. in a field such as Economics, Data Science, or other relevant domain. - Experience in a startup in a dual-use technology domain - Experience developing PowerBI, Tableau, or similar capabilities - Experience using or developing Customer Relationship Management (CRM) technologies EEO Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Other Important Information By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to work remotely Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedule Information Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. National Pay Statement Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $67,400 - $129,300. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Premium Pay Statement Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $77,600 - $146,000. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

Consultant Bus Data Analysis - GA08BE Sr Consult Bus Data Analysis - GA07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Join The Hartford's Enterprise Data Services organization with our talented Scrum team to help unlock Data Insights for the Chief Underwriting Office (CUO). We build solutions using Cloud technologies but source data from various environments. We are committed to the Agile delivery framework and are passionate about delivering business value through well architected innovative solutions. As a Business Data Analyst, you will bridge the gap between business stakeholders and technical teams. You'll work closely with both groups to understand business requirements, translate them into actionable technical specifications, and ensure successful project execution. Your analytical skills, combined with an understanding of both business operations and technical processes, will play a critical role in delivering solutions that meet the needs of the organization. The successful candidate will work closely with our Product Owner, customers and partner BI and data delivery teams across the enterprise to design and deliver data solutions. You will be part of a high performing and talented team who is charged with consolidating data across multiple domains, business segments and environments, delivering the broadest scope of line of business reporting in the enterpriser that includes drillable detail. Responsibilities: - Collaborate with business teams to gather, analyze, and define business requirements for data-focused projects. - Translate business needs into detailed technical requirements, ensuring alignment between business objectives and technical execution. - Act as a liaison between business stakeholders, data engineers, and software developers to facilitate clear communication and efficient project delivery. - Conduct data analysis to identify trends, patterns, and insights that inform business decision-making. - Create documentation, including business requirements, technical specifications, and workflow diagrams, to ensure project clarity and alignment. - Participate in project planning, timeline development, and resource allocation to support project goals. - Assist in the testing and validation of solutions to confirm they meet business and technical requirements. - Support change management efforts by helping business stakeholders understand new processes and tools introduced by data-driven solutions. Qualifications: - 3+ years of experience as a Business Analyst, ideally within a data-driven or tech-focused organization. - Bachelor's degree in Business, Data Science, Information Systems, or a related field. - Strong analytical and problem-solving skills, with a proven ability to gather and interpret data. - Familiarity with data analytics, databases, and visualization tools (e.g., SQL, Tableau, Power BI, ThoughtSpot) is a plus. - Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable terms for non-technical stakeholders. - Experience with Agile or similar project management methodologies is preferred. - Strong organizational skills and attention to detail, with the ability to manage multiple priorities effectively. Candidates who live near one of our locations (Hartford, CT, Charlotte, NC, Columbus, OH or Chicago, IL) will have the expectation of working in office 3 days a week (Tuesday through Thursday). Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $77,360 - $116,040 The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience. Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Role: Data AnalystLocation: Loveland, CO (Hybrid: 3 days on-site)Duration: 12 months+Compensation: up to $28/hour depending upon experience POSITION OVERVIEWWe are seeking a detail-oriented and proactive Data Analyst to join our client's team on a one-year contract. This role is critical to supporting data operations, analytics, and process improvement initiatives within the agricultural retail and manufacturing industry. The ideal candidate will possess a strong skill set in data management, analytics, and Excel, with exceptional communication abilities. KEY RESPONSIBILITIES Data Management and Operations:<ul><li>Work directly in SAP to process new and existing material data requests.</li><li>Collaborate with data requestors to troubleshoot and resolve concerns.</li><li>Maintain and update data request trackers, providing timely updates to management.</li></ul> Project Support:<ul><li>Assist leadership with mini-projects focused on data cleanup, standardization, or improvement initiatives.</li><li>Monitor and manage tasks from the ServiceNow platform and shared email inbox.</li></ul> Documentation and Communication:<ul><li>Develop and maintain standard operating procedure (SOP) documentation.</li><li>Effectively communicate with team members and stakeholders to ensure alignment on data-related tasks and projects.</li></ul> Other Duties:<ul><li>Perform other tasks as assigned to support data-driven decision-making and operational efficiency.</li></ul> REQUIRED SKILLS AND QUALIFICATIONS <ul><li>Data Management and Analytics: Demonstrated experience managing, analyzing, and interpreting large or complex data sets.</li><li>Excel Proficiency: Advanced Excel skills, including pivot tables, VLOOKUP, and working with large data sets.</li><li>Effective Communication: Ability to clearly convey complex data concepts to diverse audiences.</li><li>Business Process Documentation: Experience creating and managing process documentation.</li><li>SAP Knowledge: Familiarity with SAP for material or master data management.</li><li>ServiceNow Experience: Experience monitoring and managing tasks within ServiceNow or similar platforms.</li></ul> ----RGP is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, or any other legally protected trait and encourage all applicants to apply. If you are applying for a position in San Francisco, Los Angeles, or Los Angeles County, please visit the <a>RGP Notice on Fair Chance Ordinances page</a>. (https://rgp.com/fair-chance-ordinances/)

Company: Financial Services - Corporate Investment BankTitle: Financial Data Analyst Location: Chicago, ILHours: Business - Hybrid schedule Job Description:our team is dedicated to delivering data solutions to optimize our internal processes. If you are driven by the need to exceed expectations and enjoy the camaraderie of a diverse, proactive team, we want to meet you. The right relationship is everything. This role focuses on managing and maintaining our ultimate client recon list, working directly with the program team to ensure that we are only repapering clients that need to be repapered using data insights. Additionally, you will manage daily reporting to help us run the business efficiently. ***Must have strong Excel Skills (Advanced formulas) and Alteryx experience.Tableau experience is desired. Day to day: • Owning the research, creation, validation, and analysis of data to maintain the client recon list • Managing and producing daily reports to support efficient business operations • Leverage critical thinking skills to customize, streamline, and solution data needs • Managing internal expectations with a continued drive to exceed expectations • Collaborating with the program team to ensure efficient client repapering using data insights • Representing the team as the Data Analyst Specialist on your assigned projects • Owning your role and feeling empowered to escalate when support is needed to remove obstacles to success Preferred qualifications, skills, and capabilities: • Bachelor of Arts/Bachelor of Science degree • Proven ability to independently identify issues, analyze problems, and provide viable data solutions • Excellent verbal and written communication skills • Time management and organizational skills • Experience in financial services, if possible Corporate/Commercial Banking • Excellent attention to detail • Strong focus on internal collaboration and process optimization • Experience with Alteryx and advanced Excel skills Day to day you will be:<ul><li>Owning the research, creation, validation and negotiation oversight of client documentation for account opening.</li><li>Leverage critical thinking skills to customize, streamline, and solution account and documentation needs</li><li>Managing client and internal expectations with a continued drive to exceed expectations</li><li>Interacting with clients, answering client questions and working with clients to minimize documentation requirements</li><li>Representing the team as the Documentation Specialist on your assigned implementations</li><li>Collaborate with team and internal partners (Legal, Service, Sales, KYC) to deliver a seamless client onboarding experience</li><li>Owning your role and feeling empowered to escalate when support is needed to remove obstacles to success</li></ul> Preferred qualifications, skills and capabilities:<ul><li>Proven ability to independently identify issues, analyze problems and provide viable solutions</li><li>Excellent verbal and written communication skills</li><li>Time management and organizational skills</li><li>Experience in financial services, if possible Corporate/Commercial Banking</li><li>Excellent attention to detail</li><li>Strong client focus and ability to partner with various internal groups and client coverage</li></ul> Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Sales & Finance Data Analyst About the Role We are seeking a highly motivated and skilled Sales & Finance Data Analyst to join our growing team. In this role, you will play a crucial part in ensuring the integrity and accuracy of our Salesforce data. You will be responsible for building reports, analyzing data, and identifying trends to support data-driven decision-making across the organization. The ideal candidate possesses a strong understanding of Salesforce, excellent analytical skills, and meticulous attention to detail. In addition to Salesforce data analysis, you will be booking invoices into QuickBooks and reconciling data to ensure that data shared by Salesforce and QuickBooks ties out. Key Responsibilities: Data Integrity:<ul><li>Develop and implement data quality control measures within Salesforce.</li><li>Identify and resolve data discrepancies and inconsistencies.</li><li>Maintain data integrity by monitoring data entry procedures and implementing best practices through automation.</li><li>Collaborate with cross-functional teams to ensure data accuracy across all systems.</li></ul> Reporting and Analysis:<ul><li>Design and develop reports and dashboards in Salesforce to track key performance indicators (KPIs) and provide insights to leadership.</li><li>Analyze sales, marketing, financial, and customer data to identify trends, patterns, and opportunities for improvement.</li><li>Present findings and recommendations to leadership in a clear and concise manner.</li></ul> Data Monitoring:<ul><li>Monitor data flows in and out of Salesforce to ensure data accuracy and completeness.</li><li>Develop and maintain data dictionaries and documentation.</li><li>Proactively identify potential data issues and implement solutions.</li></ul> Salesforce Expertise:<ul><li>Possess a strong understanding of Salesforce objects, fields, and relationships.</li><li>Utilize Salesforce reporting and analysis tools to extract and manipulate data.</li><li>Stay current on Salesforce updates and best practices.</li></ul> Financial Transactions (Quickbooks):<ul><li>Reconcile bank accounts and credit cards in Quickbooks - allocating the transactions to the proper general ledger accounts</li><li>Analyze general ledger detail to identify transactions that were improperly allocated.</li><li>Analyze Quickbooks data against Salesforce data to ensure figures tie out. </li></ul> Reporting:<ul><li>The Sales & Finance Data Analyst will report directly to the Director of Finance & Accounting.</li><li>The Sales & Finance Data Analyst will report indirectly to the COO and Director of Marketing.</li></ul> Qualifications:<ul><li>Bachelor's degree in Business, Computer Science, Information Systems, or a related field.</li><li>Proven experience as a Data Analyst with a strong understanding of Salesforce.</li><li>Proficiency in data analysis tools and techniques.</li><li>Excellent SQL skills and experience with data visualization tools.</li><li>Strong analytical and problem-solving skills.</li><li>Meticulous attention to detail and commitment to data accuracy.</li><li>Excellent communication and interpersonal skills.</li><li>Strong Excel or Google Sheets experience</li></ul> Bonus Points:<ul><li>Salesforce certifications (e.g., Administrator, Platform App Builder)</li><li>Experience with data integration tools.</li><li>Experience with automation</li><li>Experience with Quickbooks</li><li>Experience with Asana</li><li>Experience with Slack</li><li>Experience with Google </li></ul> Compensation:We are offering a competitive compensation package with a base salary of $60,000 to $65,000 annually, plus quarterly bonuses based on key performance indicators (KPIs). The quarterly bonuses will be aligned with measurable and achievable KPIs to reward performance and contributions to company goals.

Guidewire Data AnalystOverview: We are seeking a highly skilled Guidewire Data Analyst Lead with a robust background in Guidewire platforms and data analysis. The ideal candidate will possess the expertise to oversee requirement gathering, solution design, and development for Guidewire applications, ensuring high-quality and timely delivery.Experience Requirements:· Professional Experience: A total of 8+ years of professional experience, with at least 4–6 years dedicated to Guidewire.· Guidewire Proficiency: Proven proficiency in Guidewire ClaimCenter and PolicyCenter modules.· Data Analysis: Strong expertise in data analysis and model development.Key Responsibilities:1. Stakeholder Collaboration: Engage with stakeholders to gather and analyze requirements through workshops and discussions.2. Design Documentation: Create comprehensive design documents for project implementation.3. Software Configuration Management: Manage software configurations, including branch creation, tagging, and merging.4. Build and Deployment Oversight: Oversee application builds and deployments across various environments.5. Project Planning: Develop and maintain detailed project plans, assign tasks, track progress, and ensure compliance with metrics.6. Guidewire Customization: Write pseudo-code and customize the Guidewire product to meet business needs.7. Data Model Development: Develop data models and business logic rules to enhance system functionality.8. UI Design and LOB Mapping: Design and implement PCF screens (user interfaces) and perform Line of Business (LOB) mapping.9. System Localization: Adapt the system for localization to support different regions and languages.10. Gosu Programming: Utilize Gosu programming for class development and enhancements.11. Unit Testing: Prepare and execute unit test cases (UTCs) to ensure code quality.12. Peer Reviews and Mentorship: Conduct peer reviews and provide guidance to junior developers.If you have a passion for technology and are eager to contribute to a dynamic team environment, we encourage you to apply. Join us in driving innovative solutions for Guidewire platforms.

Job Description: Market Data Analyst ConsultantLocation: Remote, If Chicago - Option to Go In OfficeDuration: 6 MonthsIndustry: Financial Services Position Overview: We are seeking an experienced Market Data Analyst Consultant to support our client in the financial services industry. The consultant will work closely with financial advisor partners to create a centralized record for market data, through cataloging inventory by conducting advisor interviews. After defining what market data partner would best suit the company based on the findings, they will then assist in the implementation of that partner into the organization. The ideal candidate will have a background in working with market data providers like Bloomberg, S&P, and Reuters. Key Responsibilities:<ul><li>Collaborate with financial advisors to understand their data requirements.</li><li>Evaluate and onboard new data providers that meet advisor needs.</li><li>Develop and maintain catalogs of data services tailored to individual advisors.</li><li>Implement strategies for effective integration of new data partners.</li><li>Ensure data accuracy, quality, and compliance with industry standards.</li><li>Provide ongoing support and training to advisors on using new data services.</li></ul> Qualifications:<ul><li>Bachelor's degree in Finance, Economics, Data Science, or related field.</li><li>Proven experience as a Market Data Analyst in financial services.</li><li>Familiarity with data providers such as Bloomberg, S&P, and Reuters.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and interpersonal skills.</li><li>Ability to work independently and manage multiple tasks effectively.</li></ul> EEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com or 844-463-6178.

Job Title : Data Analyst/Engineer Senior Locations:. Hybrid - Onsite in McLean, VA Tuesday through Thursday. Job Description:Must Haves: Strong understand of SDLC, Python, R, proficient in SQL, Spark, SQL, Data processing frameworks- Apache Spark, Cucumber, Bitbucket and PySpark. Notes:This is a Data Engineering role mixed with Data Analyst (No Data Science)CANDIDATES WITHOUT PYTHON EXPERIENCE WILL NOT BE CONSIDERED.This team will be working with the business area and will help with business solutions .assist with gathering requirements, and work with engineering teams to help build the data solutionsCandidates will need to have Python, SQL, any Data Framework like Apache spark, DB management and Data Lakes experience Prior fintech experience is preferred, especially in the process side (Like using Jenkins for deployments)Be able to handle some ETL work Role may require after hours prod support later on. For now, no afterhours work is needed Qualifications:• Bachelor’s degree in computer science or related discipline; advanced Studies/ Degree preferred.• 5-7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java).• Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).• Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs • Experience with cloud platform AWS (EMR, EKS, Lambda).• Experience writing statistical and/or optimization programs to develop models and algorithms.• Programming languages may include—but are not limited to—Python, R • Solid understanding of SDLC practices including development, testing, and release management.• Experience with version control systems such as Git, BitBucket • Experience with RESTful API design and development.• Familiarity with PySpark for large-scale data processing and analysis.

Job Description: Optomi, in partnership with a leading financial services company, is seeking a Data Analyst to join their team. **This position is hybrid in Rockville, MD 2X a week on-site** Qualifications:<ul><li>Bachelor’s degree in Data Science, Mathematics, Computer Science, or a related field.</li><li>Experience with SQL for querying databases and managing large datasets.</li><li>Proficiency in Excel for data manipulation, pivot tables, VLOOKUP, and data visualization.</li><li>Familiarity with Python for data processing and analysis.</li><li>Understanding of core statistical concepts and methods. </li><li>Ability to extract, clean, and transform data using SQL queries.</li><li>Strong ability to break down complex data sets and identify trends, patterns, or outliers.</li><li>Ability to think critically and solve problems through data-driven approaches.</li><li>Ability to present complex findings in a simple and clear way, tailored to different audiences (executives, technical teams, stakeholders).</li><li>Ability to write detailed, clear reports that summarize data analysis and recommendations.</li><li>Experience working with different teams (marketing, finance, operations, etc.) to understand their data needs and deliver actionable insights.</li></ul> Responsibilities: <ul><li>Gather, clean, and preprocess data from various internal and external sources.</li><li>Ensure data accuracy, consistency, and completeness through data validation and quality checks.</li><li>Analyze large datasets to identify trends, patterns, and key insights.</li><li>Perform statistical analysis and modeling to support business objectives.</li><li>Create ad-hoc reports as needed by different departments (e.g., Marketing, Sales, Operations).</li><li>Present analysis and key metrics to stakeholders, translating complex data into clear and actionable insights.</li><li>Work closely with cross-functional teams to understand data requirements and provide actionable insights.</li><li>Translate business questions into data-driven solutions and communicate findings in a non-technical manner to executives and non-technical stakeholders.</li><li>Automate repetitive tasks and reporting processes to improve efficiency.</li><li>Develop scripts or use software tools to streamline data collection and reporting.</li></ul>

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