A-Line Staffing is now hiring a Data Analyst - fully remote. The Data Analyst would be working for a Fortune 500 company and has career growth potential. This would be full time / 40 hours per week. If you are interested in this Data Analyst position Data Analyst, Analyst, Staffing, Data, Technology

Grounded by a history that is deeply rooted in innovation, Hexion is a global employer committed to building and protecting the future by producing innovative performance materials. Our materials are the building blocks for critical industries, including construction, agriculture, energy, automotive, and infrastructure protection. Everywhere you look, you will find our materials and people at work to help customers make products that are stronger, safer, and cleaner. When you work for Hexion, you’ll join a team that is committed to operating safely and with integrity to build a more sustainable future for all, our associates, our customers, and the communities where we live and work.<h3>Position Overview</h3>Hexion’s Internship Program is an opportunity for students to bring their passion and educational experience to a global leader in specialty chemicals and an environment driven by our Core Values. These include:<ul><li>Ethics and Integrity</li><li>Safety, Health and Environmental Stewardship</li><li>Customer Centric</li><li>Our People</li><li>Creativity</li><li>High Performance Team Work</li></ul>Internship opportunities with Hexion are available in multiple disciplines providing students an unparalleled experience within a global corporation focused on building a better world. Hexion is powered by a spirit of innovation providing a unique program encouraging students to actively contribute to Hexion’s continuous development. Hexion provides challenging projects that not only provide broad exposure to the intern’s particular field of study, but encourage further development as an individual and a business professional. We strive to ensure that interns leave our program having gained knowledge and skills that cannot be taught in the classroom.The ideal candidate will be skilled in multiple aspects of data analytics, including data mining, modeling, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented insights that drive innovation and growth. The Data Analyst Intern will work closely with BI Developers, Data Engineers, and technical resources to support the design and delivery of priority analytical solutions.<h3>Job Responsibilities</h3><ul><li>Create best-practice reports based on data mining, analysis, and visualization</li><li>Work directly with business managers and users to gather requirements, provide status updates, and build relationships</li><li>Proactively analyze data to create content that answers key questions for stakeholders, with an eye on what drives business performance</li><li>Identify trends and opportunities for growth through analysis of complex datasets</li></ul><h3>Minimum Qualifications</h3><ul><li>Bachelor’s Degree or at least 3 years of completed study in computer science, statistics, mathematics, business, or another closely related analytical field.</li><li>The ability to work and communicate effectively with both IT and business</li><li>Knowledge of SQL, Python, Azure, or R with aptitude for learning other analytics tools</li><li>Experience working with Power BI or another BI software tool like Tableau, Qlik, and others</li></ul><h3>Other</h3>We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, minority status, sexual orientation, gender identity, protected veteran status, status as a qualified individual with a disability or any characteristic protected by law.In order to be considered for this position candidates are required to submit an application for employment through our career site, be at least 18 years of age, willing to take a drug test, submit to a background investigation as part of the selection process, as well as additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies.Candidates are required to have unrestricted authorization to work in the United States.If currently an employee of the Company, you must have current satisfactory work performance and in most cases, have been in your current role for 18 months.
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A-Line Staffing is now hiring a Data Analyst – fully remote. The Data Analyst would be working for a Fortune 500 company and has career growth potential. This would be full time / 40+ hours per week.

If you are interested in this Data Analyst position, please contact Mackenzie Rose at mrose@alinestaffing.com or (586) 710-7966.

Data Analyst Compensation

The pay for this position is $41.36 per hour
Benefits are available to full-time employees after 90 days of employment
A 401(k) with a company match is available for full-time employees with 1 year of service on our eligibility dates

Data Analyst Highlights

8 hour shift assigned Monday through Friday.
Start Date: 02/03/2024

Data Analyst Responsibilities

Responsible for the day-to-day maintenance and audit of Sales Territory Management for Health System, Provider, and Retail Distribution of the Pharmaceutical Segment.
Work cross functionally to establish and execute processes to assign and maintain territories as changes occur.
Ensure the quality, integrity, and timeliness of territory assignments.
Responsible for administering sales compensation including peer reviews and data analysis for the Pharmaceutical Segment.

Data Analyst Requirements

High School Diploma or GED
Attendance is mandatory for the first 90 days

Data Analyst Preferred Qualifications

BA, BS or equivalent experience in related field preferred
2-4 years of experience preferred
Experience with Salesforce/SQL preferred

If you think this Data Analyst position is a good fit for you, please reach out to me - feel free to call, e-mail, or apply to this posting!

Mackenzie Rose – Recruiting Assistant

mrose@alinestaffing.com or (586) 710-7966.

<h3>Lead Data Analyst - EAD or GC or USC ONLY</h3>USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services, e-commerce, Social, Mobile, Cloud, Analytics (SMAC) and DevOps.USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.Lead Data Analyst - EAD or GC or USC ONLYDublin, OHTop Three Skills:<ol><li>Data profiling</li><li>Source to target Mapping</li><li>Data Modeling - Logical, Physical, Conceptual</li><li>Data visualization</li><li>SQL experience is also very important - We will be trying to use a tool called Informatica Data Quality to conduct data profiling. If for some reason we run into issues using this tool, we fall back to SQL.</li><li>LEADERSHIP and COMMUNICATION - This position is viewed as a Director-level role in the organization. Candidates need to be able to effectively and confidently describe and execute on Data Analysis/Modeling strategies for the program.</li></ol>Job Description:Position likely to be contract to perm. A Lead data analyst performs a variety of tasks related to collecting, organizing and interpreting data. A data analyst will be responsible for inspecting, cleansing, transforming and modeling data. A data analyst will have to deal with uncertainty about data information completeness and quality. A data analyst will play a dominant role in business intelligence, advanced analytics, data integration and master data management efforts and will be involved with traditional application development projects where necessary.Role accountabilities:<ul><li>A data analyst will have a natural inclination and passion toward problem solving in a disciplined process oriented fashion.</li><li>A data analyst will critically evaluate information gathered from multiple sources, reconcile conflicts, classify the information in logical categories.</li><li>Uses different visualization techniques and present the results of data exploration exercises.</li><li>Understands the flow of data, business processes/technical interfaces that would be created or impacted.</li><li>Documents the source to target mappings for both data integration as well as web services (consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.</li><li>Identifies and documents sources of existing data as well as the new data. Understands use of master and reference data including sources and contributors.</li><li>Collaborates with data scientists and business partners and conducts data profiling and predictive analysis using a variety of standard tools.</li><li>Creates conceptual, logical and physical data models and determines the most appropriate method to represent the data for business consumption.</li><li>Have joint accountability with data stewards and data architects on the projects to ensure conformance to enterprise data governance policies around information risk and data protection guidelines.</li></ul>Recommended experiences:<ul><li>Data source identification, data profiling, interpretation of patterns and trends, assessment of and improvement of data quality, versatility with visualization tools and techniques to share analysis findings.</li><li>It is beneficial for individuals to have worked as a data analyst in any of the following types of projects:</li><ul><li>Analytically Intensive – Intended to draw/develop insights from data that is collected.</li><li>Operationally Data Intensive – Intended to create authoritative data sources that are essential to core transactional processing.</li><li>Data Integration Intensive – Requires the merging of many data types to satisfy business requirements.</li></ul></ul>Additional Information:Large corporate IT environment. Will work in Plaza 3, one of Nationwide's buildings downtown in Columbus, Ohio. The specific work environment consists of agile development style, with a very collaborative team.Interview Information:2-step; can both be phone, skype or in-person depending on location.Who is the Internal/External Customer:All employees associated directly and indirectly to Tier 1 or Tier 2 programs (Large scale Projects that typically span an entire Business Unit).Impact to the Internal/External Customer:The DM&A group provides Data strategy, governance, oversight, and execution for major programs. This ensures that the areas that consume the data have accurate and reliable data to make better business decisions.Business Challenge:The Data Management and Analytics team is growing due to increased demand from top tier programs across all lines of business.EVP:Opportunity to work for a top 5 insurer in the US. Also, this team supports only major Tier 1 and Tier programs that are highly visible across the organization. The selected candidate will work with a wide array of cutting edge technologies related to MDM, Big Data, and Data Governance.Non-Technical Skills:Must be an excellent communicator and possess high-level leadership skills. These individuals are responsible for gaining rapport from the stakeholders and ultimately 'selling' solutions.Why is position open?:Additional programs are being added to DM&A's portfolio.
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A-Line Staffing is now hiring a Data Analyst - fully remote. The Data Analyst would be working for a Fortune 500 company and has career growth potential. This would be full time / 40 hours per week. If you are interested in this Data Analyst position Data Analyst, Analyst, Staffing, Data, Technology

6620 Mooney St, Dublin, OH 43017, USA Req #998Friday, September 27, 2024The Data Science Center of Excellence Team at Central is looking for a passionate data analyst to drive data-driven insights in support of our business stakeholders at Central.Our team provides analytical solutions that support claims, services, and marketing. As a Data Analyst, you will work closely with cross-functional partners to analyze complex datasets, identify trends, and support strategic decision making.If you have a passion for data, an eye for detail, and the ability to transform raw data into actionable insights, we would love to have you join our team.How You Will Make an Impact<ul><li>Analyzes large, complex data sets to identify trends, patterns, and opportunities that inform business decisions.</li><li>Provides actionable insights that drive customer service, claims management, customer segmentation, and other key insurance functions.</li><li>Designs and executes rigorous studies to measure the causal impact of business initiatives on key metrics, such as loss ratios, bind ratio and customer acquisition costs.</li><li>Leverages geospatial data and analytics to gain insights into customer behavior, market trends, and geographical areas for expansion and risk assessment.</li><li>Utilizes optimization techniques to improve operational efficiency, streamline processes, and identify cost-saving opportunities.</li><li>Works closely with cross-functional teams, including data scientists, product managers, and business leaders, to understand data needs and provide analytical support.</li><li>Communicates complex data insights in a clear and concise manner to non-technical stakeholders.</li><li>Presents findings and recommendations to senior management, supporting data-driven decision-making across the organization.</li><li>Utilizes statistical techniques, predictive modeling, and machine learning to analyze data and solve complex business problems.</li><li>Collaborates with data engineers to ensure data quality, integrity, and accessibility for analysis.</li></ul>What You Will Do<ul><li>Master's degree in Data Science, Statistics, Mathematics, Economics, or a related field <ul><li>Or Bachelor's degree in Science, Statistics, Mathematics, Economics, or a related field and 2 years experience in data analysis</li><li>Or 4 years experience in data analysis</li></ul></li><li>Proficiency in data analysis tools and languages such as SQL, Python, R, and Excel.</li><li>Strong experience with data visualization tools (e.g., Tableau, Power BI) and creating interactive dashboards.</li><li>Familiarity with insurance industry data sources, including policy, claims, and customer data.</li><li>Deep understanding of insurance industry concepts, including underwriting, claims, pricing, and risk assessment.</li><li>Experience working with pricing models, or other insurance-specific analytical tools is a plus.</li><li>Strong analytical skills with the ability to interpret complex data and provide clear, actionable insights.</li><li>Ability to identify and solve business problems using data-driven approaches.</li><li>Experience with statistical modeling, predictive analytics, or machine learning techniques is an advantage.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to work both independently and in a team environment with internal/external customers.</li><li>Strong organizational, planning & problem-solving skills.</li><li>Ability to communicate with stakeholders and business partners.</li><li>Ability to understand Central Insurance’s policies and processes.</li></ul>Preferred<ul><li>Proven experience in analyzing complex data sets and delivering actionable insights that drive business value.</li><li>Data Analytics experience in the insurance industry.</li></ul>Work Authorization Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.Equal Opportunity EmployerIt is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability.
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Location: Hybrid Work Model - Dublin, OH The Data Science Center of Excellence Team at Central is looking for a passionate data analyst to drive data-driven insights in support of our business stakeholders at Central. Our team provides analytical solutions that support claims, services, and marketing. As a Data Analyst, you will work closely with cross-functional partners to analyze complex datasets, identify trends, and support strategic decision making. If you have a passion for data, an eye for detail, and the ability to transform raw data into actionable insights, we would love to have you join our team. How You Will Make an Impact <ul> <li>Analyzes large, complex data sets to identify trends, patterns, and opportunities that inform business decisions. </li><li>Provides actionable insights that drive customer service, claims management, customer segmentation, and other key insurance functions. </li><li>Designs and executes rigorous studies to measure the causal impact of business initiatives on key metrics, such as loss ratios, bind ratio and customer acquisition costs </li><li>Leverages geospatial data and analytics to gain insights into customer behavior, market trends, and geographical areas for expansion and risk assessment. </li><li>Utilizes optimization techniques to improve operational efficiency, streamline processes, and identify cost-saving opportunities. </li><li>Works closely with cross-functional teams, including data scientists, product managers, and business leaders, to understand data needs and provide analytical support. </li><li>Communicates complex data insights in a clear and concise manner to non-technical stakeholders. </li><li>Presents findings and recommendations to senior management, supporting data-driven decision-making across the organization. </li><li>Utilizes statistical techniques, predictive modeling, and machine learning to analyze data and solve complex business problems. </li><li>Collaborates with data engineers to ensure data quality, integrity, and accessibility for analysis. </li></ul>What You Will Do <ul> <li>Masters degree in Data Science, Statistics, Mathematics, Economics, or a related field <ul> <li>Or Bachelors Science, Statistics, Mathematics, Economics, or a related field and 2 years experience in data analysis </li><li>Or 4 years experience in data analysis </li></ul> </li><li>Proficiency in data analysis tools and languages such as SQL, Python, R, and Excel. </li><li>Strong experience with data visualization tools (e.g., Tableau, Power BI) and creating interactive dashboards. </li><li>Familiarity with insurance industry data sources, including policy, claims, and customer data. </li><li>Deep understanding of insurance industry concepts, including underwriting, claims, pricing, and risk assessment. </li><li>Experience working with pricing models, or other insurance-specific analytical tools is a plus. </li><li>Strong analytical skills with the ability to interpret complex data and provide clear, actionable insights. </li><li>Ability to identify and solve business problems using data-driven approaches. </li><li>Experience with statistical modeling, predictive analytics, or machine learning techniques is an advantage. </li><li>Strong analytical and problem-solving skills </li><li>Ability to work both independently and in a team environment with internal /external customers </li><li>Strong organizational, planning & problem-solving skills </li><li>Ability to communicate with stakeholders and business partners </li><li>Ability to understand Central Insurance's policies and processes </li></ul>Preferred <ul> <li>Proven experience in analyzing complex data sets and delivering actionable insights that drive business value. </li><li>Data Analytics experience in the insurance industry </li></ul>Work Authorization Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid #LI-AS1 Other details<ul><li> Job Family Data Science and PDDS</li> </ul> Apply Now

<h3>Job Description</h3><div>Job Description<div><div></div><div>Sales Data Reporting & Query AnalystDepartment: Sales Reports to: VP of Sales Location: Hybrid - Dublin, Ohio (3 days) Remote (2 days) Full-time, Non-Exempt Why T-CETRA?We're constantly developing new and creative ways to solve the industry’s most complex problems. Our enterprise software solutions run the gamut of Information Technology Services–from payment processing, to prepaid wireless activations, to mobile and web app development. For the past 10+ years our originality attracts the most outstanding and innovative thinkers- allowing us to develop new and creative approaches while growing as the industry leader. Are you a passionate professional, ready to make changes in the tech world? Join our team today! About the Job:We are seeking a highly skilled Data Analyst specializing in modeling to join our team. The ideal candidate will be responsible for analyzing complex datasets, creating statistical models, and providing insights to support business decisions. The role requires proficiency in data manipulation, statistical analysis, and visualization techniques. The Data Analyst will collaborate with cross-functional teams to identify trends, forecast outcomes, and develop actionable recommendations.. What You'll Do:<ul><li>Reporting<ul><li>Tableau Champion, use Tableau to query data and build dashboards </li><li>Develop and maintain KPI data points and internal reporting. </li><li>Develop and execute external-facing reporting through reporting tools. </li><li>Lead data reporting team to drive consistency in delivery projects data. </li></ul></li><li>Data Collection and Preparation:<ul><li>Gather and organize large datasets from various sources.</li><li>Cleanse and preprocess data to ensure accuracy and consistency.</li><li>Perform exploratory data analysis to understand patterns and relationships.</li></ul></li><li>Statistical Modeling:<ul><li>Develop predictive models using statistical techniques such as regression, classification, clustering, and time series analysis.</li><li>Apply machine learning algorithms to uncover insights and forecast future outcomes.</li><li>Validate models for accuracy, reliability, and robustness.</li></ul></li><li>Data Visualization and Reporting:<ul><li>Create clear and informative visualizations to communicate findings and trends.</li><li>Prepare comprehensive reports summarizing analysis results and key insights.</li><li>Present findings to stakeholders in a compelling and understandable manner.</li></ul></li><li>Collaboration and Communication:<ul><li>Collaborate with cross-functional teams to understand business requirements and objectives.</li><li>Communicate effectively with stakeholders to gather requirements and provide updates on analysis progress.</li><li>Work closely with data engineers and IT professionals to optimize data workflows and infrastructure.</li></ul></li><li>Continuous Improvement:<ul><li>Stay updated on the latest advancements in data analysis techniques and tools.</li><li>Identify opportunities for process improvement and automation.</li><li>Share knowledge and best practices with team members to enhance overall capabilities.</li></ul></li></ul>Must Have:<ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred.</li><li>Proven experience as a Data Analyst with a focus on statistical modeling.</li><li>Proficiency in programming languages such as Python, MS-SQL. </li><li>Strong knowledge of statistical techniques and machine learning algorithms.</li><li>Experience with data visualization tools such as Tableau, Power BI.</li><li>Excellent analytical and problem-solving skills with a keen attention to detail.</li><li>Effective communication and interpersonal skills.</li><li>Ability to work independently and collaborate in a team environment.</li><li>Prior experience in industries such as finance, marketing, healthcare, or e-commerce is a plus</li></ul> Why Should You Apply:<ul><li>Paid Time Off  </li><li>Comprehensive Medical, Vision and Dental  </li><li>Matching 401k up to 4%  </li><li>FMLA and Life Insurance  </li><li>Tuition Reimbursement  </li><li>Wellness Program  </li><li>Employee Growth and Development Reimbursement Program  </li><li>Discounted Rates for Multiple Handsets and Prepaid Wireless Rates  </li><li>Beautiful nearby walking paths and park  </li><li>Fun, value centered work atmosphere  </li><li>Flexible work environment  </li></ul>T-CETRA provides employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity, marital status, age, genetic information, disability, veteran-status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within T-CETRA. To create a safe and positive environment for employees, all applicants must perform a pre-employment drug screen and background check. </div></div></div>

Sales Data Reporting & Query Analyst Department: Sales Reports to: VP of Sales Location: Hybrid - Dublin, Ohio (3 days) Remote (2 days) Full-time, Non-Exempt Why T-CETRA? We're constantly developing new and creative ways to solve the industry's most complex problems. Our enterprise software solutions run the gamut of Information Technology Services-from payment processing, to prepaid wireless activations, to mobile and web app development. For the past 10+ years our originality attracts the most outstanding and innovative thinkers- allowing us to develop new and creative approaches while growing as the industry leader. Are you a passionate professional, ready to make changes in the tech world? Join our team today! About the Job: We are seeking a highly skilled Data Analyst specializing in modeling to join our team. The ideal candidate will be responsible for analyzing complex datasets, creating statistical models, and providing insights to support business decisions. The role requires proficiency in data manipulation, statistical analysis, and visualization techniques. The Data Analyst will collaborate with cross-functional teams to identify trends, forecast outcomes, and develop actionable recommendations.. What You'll Do: <ul><li>Reporting<ul><li>Tableau Champion, use Tableau to query data and build dashboards </li><li>Develop and maintain KPI data points and internal reporting. </li><li>Develop and execute external-facing reporting through reporting tools. </li><li>Lead data reporting team to drive consistency in delivery projects data. </li></ul></li><li>Data Collection and Preparation:<ul><li>Gather and organize large datasets from various sources.</li><li>Cleanse and preprocess data to ensure accuracy and consistency.</li><li>Perform exploratory data analysis to understand patterns and relationships.</li></ul></li><li>Statistical Modeling:<ul><li>Develop predictive models using statistical techniques such as regression, classification, clustering, and time series analysis.</li><li>Apply machine learning algorithms to uncover insights and forecast future outcomes.</li><li>Validate models for accuracy, reliability, and robustness.</li></ul></li><li>Data Visualization and Reporting:<ul><li>Create clear and informative visualizations to communicate findings and trends.</li><li>Prepare comprehensive reports summarizing analysis results and key insights.</li><li>Present findings to stakeholders in a compelling and understandable manner.</li></ul></li><li>Collaboration and Communication:<ul><li>Collaborate with cross-functional teams to understand business requirements and objectives.</li><li>Communicate effectively with stakeholders to gather requirements and provide updates on analysis progress.</li><li>Work closely with data engineers and IT professionals to optimize data workflows and infrastructure.</li></ul></li><li>Continuous Improvement:<ul><li>Stay updated on the latest advancements in data analysis techniques and tools.</li><li>Identify opportunities for process improvement and automation.</li><li>Share knowledge and best practices with team members to enhance overall capabilities.</li></ul></li></ul> Must Have: <ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred.</li><li>Proven experience as a Data Analyst with a focus on statistical modeling.</li><li>Proficiency in programming languages such as Python, MS-SQL. </li><li>Strong knowledge of statistical techniques and machine learning algorithms.</li><li>Experience with data visualization tools such as Tableau, Power BI.</li><li>Excellent analytical and problem-solving skills with a keen attention to detail.</li><li>Effective communication and interpersonal skills.</li><li>Ability to work independently and collaborate in a team environment.</li><li>Prior experience in industries such as finance, marketing, healthcare, or e-commerce is a plus</li></ul> Why Should You Apply: <ul><li>Paid Time Off </li><li>Comprehensive Medical, Vision and Dental </li><li>Matching 401k up to 4% </li><li>FMLA and Life Insurance </li><li>Tuition Reimbursement </li><li>Wellness Program </li><li>Employee Growth and Development Reimbursement Program </li><li>Discounted Rates for Multiple Handsets and Prepaid Wireless Rates </li><li>Beautiful nearby walking paths and park </li><li>Fun, value centered work atmosphere </li><li>Flexible work environment </li></ul> T-CETRA provides employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity, marital status, age, genetic information, disability, veteran-status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within T-CETRA. To create a safe and positive environment for employees, all applicants must perform a pre-employment drug screen and background check.

Data Analyst Jobs in Dublin, OH

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Senior Sales Data Analyst
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Data Analyst Jobs in Dublin, OH

Data AnalystDecember 15, 2024

Data Analyst InternDecember 11, 2024

Data AnalystDecember 11, 2024

Data AnalystDecember 10, 2024

Lead Data Analyst Ead Or Gc Or Usc OnlyDecember 8, 2024

Data AnalystDecember 7, 2024

Senior Data AnalystDecember 7, 2024

Senior Data AnalystDecember 5, 2024

Senior Sales Data AnalystDecember 4, 2024

Senior Sales Data AnalystDecember 1, 2024