<h3>Job Description</h3><div>Job Description<div><div></div><div>Work Location(s): Augusta, GA, US<div>ADP is hiring a Data Analyst I. <ul><li>Do you thrive in a results-driven and dynamic atmosphere where associate success, achievement, collaboration, and agility are recognized and highly valued?</li><li>Are you looking for an opportunity to make a difference by using your strengths, creativity, and commitment to results?</li><li>Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging? </li></ul> Well, this may be the role for you. Ready to make your mark? As a Data Analyst I in the Health Care Reform business unit, you will be responsible for key business metrics and reporting that drives decision making and process improvement for the Business Unit.  A champion for standardizing and automating internal reports provided to the business unit. Leverage a variety of analytical tools to provide information that is flexible, responsive and nimble to changing business needs. The Data Analyst is responsible for Analysis/ Consulting, Configuration/ Integration, Validation/ Support and Project Planning for all aspects of predictive Analytics, Reporting and Survey Administration. A typical day involves working with your stakeholders and your team members on various initiatives related to collecting, organizing and presenting data that tells a story. Our business uses the story to identify opportunities to better support our clients and associates. Your passion for connecting data to our business needs will be key to our success. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. We’ve received recognition as a global Best Places to Work and a recipient of many prestigious awards for diversity, equity, and inclusion, including a DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more. As part of our deep DEI commitment, our CEO has joined the OneTen coalition to create one million jobs for Black Americans within ten years. Learn more about DEI at ADP on our YouTube channel: http://adp.careers/DEI_VideosReady to #MakeYourMark? Apply now!To learn more about ADP, visit: jobs.adp.com What you’ll do: Responsibilities: <ul><li>Analytics/ Consulting/Communicating:</li><li>Work with Business Unit champions and Subject Matter Experts (SMEs) to define requirements related to reporting, analytics, trending and communications. </li><li>Create business requirements based on detailed analysis of Business Unit needs </li><li>Coordinates and consults with Corporate IT for customization work </li><li>Develops ad hoc inquiries to assist in reporting, categorization and analysis </li><li>Provides demos and training for champions and SMEs, including documentation as required for reporting, analysis, trending and communication. </li><li>Configuration/ Integration: </li><li>Works and counsels with business units on system and service configuration tools, tool adaptation and business best practice solutions. </li><li>Determines best methodology and oversees the accurate and timely conversion of survey data, reporting and analytics. </li><li>Consults on interfaces to internal systems </li><li>Validation/Support:</li><li>Support the Business Unit during the production release of new tools, reports, alerts and analytics. </li><li>Provide support for the tools, reports and system supporting the business unit. </li><li>Project Planning: </li><li>Participates in establishing and monitoring of Business Unit implementation schedule and report status to Project Team Members. </li><li>Ensures issues and risks are documented and work with team members to resolve. </li><li>Train appropriate uses on analytical tools to ensure widespread adoption of best practices in collecting and analyzing data for actionable recommendations to leaders. </li><li>Performs other related duties as assigned. </li></ul> To Succeed in this Role: <ul><li>Excellent quantitative and analytical skills, and strong attention to detail </li><li>Excellent project management skills </li><li>Strong verbal and interpersonal skills, with demonstrated ability to work with and communicate at all levels of staff and management. </li><li>Ability to interpret data into actionable recommendations </li><li>Strong Excel skills required, including data modeling and ad hoc analysis </li><li>Can easily build relationships across multiple functions and business Units </li></ul>A college degree is great but not required. What’s more important is having the skills to do the job. If you don’t have a college degree, other acceptable experience could include: <ul><li>3-5 Years of directly related experience in analytics, market intelligence and analytics, financial modeling or statistical analysis </li><li>Prior military experience that focused on teamwork, resilience, negotiation, trust-building, and a “never lose” mentality earned as part of the military to build relationships, impact businesses for the better, and achieve success. </li></ul> Bonus Points for These:<ul><li>Tableau experience </li><li>Data reporting from Oracle (OBI), Siebel, SharePoint. </li></ul>Explore our COVID-19 page https://jobs.adp.com/covid19/ to understand how ADP is approaching safety, travel, the hiring interview process, and more.Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP affirms that inequality is detrimental to our associates, our clients, and the communities we serve. Our goal is to impact lasting change through our actions. Together, we unite for equality and equity. ADP is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values. </div></div></div></div>

Summary As an FBI data analyst, you'll clean, standardize, and visualize data using computer programming and statistical analyses so that investigative teams can derive more meaningful insights from data. It's an opportunity to use your skills to analyze financial data, uncover fraudulent activities, or examine intelligence data to help prevent terrorist threats. This job is open to <ul> <li>Career transition (CTAP, ICTAP, RPL) Federal employees who meet the definition of a "surplus" or "displaced" employee. </li><li>Federal employees - Competitive service Current or former competitive service federal employees. </li><li>Federal employees - Excepted service Current excepted service federal employees. </li><li>Individuals with disabilities </li><li>Internal to an agency Current federal employees of this agency. </li><li>Military spouses </li><li>The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. </li><li>Veterans </li></ul> Clarification from the agency All U.S. Citizens. Duties GS-7: <ul> <li>Assist in the planning, development and administration of data for the utilization, storage, cleaning, conditioning, and retrieval of data. </li><li>Assist in the design and completion of analytics for data projects involving basic and varied subject matter. </li><li>Analyze data collection gaps and recommend modifications for collection methods with supervision and guidance. </li><li>Employ programming languages at a basic level, to normalize, manipulate, and enrich datasets, which includes composing scripts to automate recurring/continuous manual data processes, affecting multiple squads and/or programs. </li><li>Utilize various methodologies with guidance and instruction to evaluate data, determine relevant patterns, and identify boundaries for data application in qualitative and quantitative analysis. </li><li>Present simple visualizations and data analysis results and findings to executive management and external audiences. </li></ul>GS-9: In addition to the above, the selectee will: <ul> <li>Plan, develop and administer the utilization, storage, cleaning, conditioning and retrieval of data for basic and straightforward projects. </li><li>Design and complete analytics for basic data projects involving broad and varied subject matter. </li><li>Utilize various methodologies with guidance to evaluate data, determine relevant patterns, and identify boundaries for data application in qualitative and quantitative analysis. </li><li>Develop and present visualizations and data analysis results and findings to executive management and external audiences. </li></ul>GS-11: In addition to the above, the selectee will: <ul> <li>Plan, develop, and administer the utilization, storage, cleaning, conditioning, and retrieval of data for projects ranging from basic to intermediate complexity. </li><li>Design and complete analytics for complex data projects involving broad and varied subject matter. </li><li>Analyze data collection gaps and recommend modifications for collection methods. </li><li>Utilize various methodologies to evaluate data, determine relevant patterns, and identify boundaries for application of data in qualitative and quantitative analysis. </li><li>Develop and present a wide range of visualizations and data analysis results and findings to executive management and external audiences. </li></ul>GS-12: In addition to the above, the selectee will: <ul> <li>Plan, develop, and administer the utilization, storage, cleaning, conditioning, and retrieval of data for complex projects. </li><li>Design and complete analytics with expertise and precision, for complex data projects involving broad and varied subject matter. </li><li>Employ programming languages at an expert level, to normalize, manipulate, and enrich datasets, which includes composing scripts to automate recurring/continuous manual data processes, affecting multiple squads and/or programs. </li></ul>GS-13: In addition to the above, the selectee will: <ul> <li>Lead and coordinate the planning, development, and administration of data for the utilization, storage, cleaning, conditioning, and retrieval of data for complex projects. </li><li>Lead and coordinate the design and development of analytics for complex data projects involving broad and varied subject matter. </li><li>Analyze data collection gaps and recommend modifications for collection methods, serving in an advisory capacity at times. </li><li>Develop and present a wide range of complex visualizations and data analysis results and findings to executive management and external audiences. </li></ul>Requirements Conditions of Employment <ul><li>Must be a U.S. citizen. </li><li>Must be able to obtain a Top Secret - Sensitive Compartmented Information (SCI) clearance. </li></ul> Qualifications Specialized Experience (SE): GS-7: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-5 grade level. SE is defined as follows: <ul> <li>Collected information for use in formal presentations. </li><li>Provided oral and written communication related to data analysis </li><li>Assisted in reading, interpreting, modifying, and executing basic scripts. </li></ul>GS-9: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-7 grade level. SE is defined as follows: In addition to the above, the selectee: <ul> <li>Assisted in the preparation of briefings and presentations, which may include visualization of data into tables, charts, diagrams, or other graphics. </li><li>Assisted in determining customer needs regarding requirements and automation. </li><li>Assisted in data preprocessing, including, data cleansing, deduplication (eliminating duplicate copies of repeating data), and normalization. </li><li>Assessed data quality and validity, before altering datasets or performing data analysis. </li><li>Read, interpreted, modified and executed basic scripts. </li></ul>GS-11: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-9 grade level. SE is defined as follows: In addition to the above, the selectee: <ul> <li>Assisted in the design of data analytics and data warehousing systems. </li><li>Identified and communicated trends and patterns to identify information gaps and anomalies from various sources. </li><li>Wrote basic scripts to normalize, manipulate and enrich datasets. </li><li>Stored and retrieved information, applied sorting theories, and conducted data sampling. </li><li>Participated in the planning and preparation of briefings and presentations, which may include visualization of data into tables, charts, diagrams, or other graphics. </li><li>Collected, organized, analyzed and disseminated information. </li></ul>GS-12: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-11 grade level. SE is defined as follows: In addition to the above, the selectee: <ul> <li>Determined customer needs regarding requirements and automation. </li><li>Planned, prepared, and presented briefings and presentations, which may include visualization of data into tables, charts, diagrams, or other graphics. </li><li>Participated in the design of data analytics and data warehousing systems. </li><li>Collected, organized, analyzed, and disseminated information. </li><li>Designed, wrote and executed scripts to automate recurring or continuous manual data processes. </li><li>Acquired, evaluated and prepared data for modeling and simulations. </li></ul>GS-13: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-12 grade level. SE is defined as follows: In addition to the above, the selectee: <ul> <li>Retrieved, analyzed, and provided recommendations on data usage from various sources. </li><li>Provided recommendations on the modification and implementation of data collection methods including the integration of new technologies (e.g., machine learning, artificial intelligence). </li><li>Developed specialized plans to obtain desired information from available datasets; assessing the information available and identifying appropriate technologies and methodologies to apply. </li><li>Utilized scripting language to automate manual data processes; developing and customizing scripts to address unique scenarios. </li><li>Communicated with customers to establish data needs, and utilized presentations, visualizations, charts, diagrams, to illustrate data analysis results. </li></ul>Education All degrees must be from an accredited college or university. Education may be substituted for specialized experience as follows: GS-7: Applicant must have a bachelor's degree with superior academic achievement or one (1) full year of graduate level education. Superior academic achievement is the completion of all the requirements of a bachelor's degree from an accredited college or university, which is based on (1) class standing, (2) grade-point average of 3.0 or higher as recorded on an official transcript, or as based on courses completed during the final two years of the curriculum, or (3) honor society membership. GS-9: Applicant must have a master's or equivalent graduate degree or 2 full years of progressively higher level graduate education leading to such a degree or LL.B. or J.D., if related. GS-11: Applicant must have a Ph.D. OR equivalent doctoral degree OR 3 full years of progressively higher level graduate education leading to such a degree OR LL.M., if related. All degrees must be from an accredited college or university. Degrees must be in one of the following fields: computer science, engineering, information science, information systems management, mathematics, operations research, statistics, or technology management OR a degree that provided a minimum of 24 semester hours in one or more of the fields identified above and required the development or adaptation of applications, systems or networks. Additional information Location: For interest in Cincinnati please select Deer Park. Available Incentives: Due to the high demand for skilled candidates to fill these positions across the FBI, selectees may be eligible for a recruitment bonus. Eligibility for this bonus, is contingent upon proof of residency. Prior to receiving a recruitment bonus, the selectee must sign a written agreement, which obligates working a specific period of time at the FBI. Salary and Compensation: The salaries listed above are the Base rate of pay for federal employees on the General Schedule (GS) pay scale. Please be advised that in some locations the IT Specialist (System Administrator/Customer Support) position may fall under a Special Rate Table. Special Rate Tables 999B, 999C, 999D, 999E, 999F, 999AA, 999AH, and 999AP may be used based on location and/or grade. As the federal agency whose mission is to ensure the fair and impartial administration of justice for all Americans, the Department of Justice is committed to fostering a diverse and inclusive work environment. To build and retain a workforce that reflects the diverse experiences and perspectives of the American people, we welcome applicants from the many communities, identities, races, ethnicities, backgrounds, abilities, religions, and cultures of the United States who share our commitment to public service. Memorandum for Record: Work performed outside assigned duties (that would not normally be documented on an SF-50, i. e., back-up duties), has to be documented in detail by an immediate supervisor in order to receive full credit for amount of time worked in that position. If no documentation is furnished no credit will be given for time worked in that position. The following notations must be specified in the documentation (Memorandum for Record): <ul> <li>Percent of time worked in the particular position (cannot conflict with main duties). </li><li>The month/year work began. </li><li>Frequency worked (i.e., daily, monthly, etc.) </li><li>Specific duties performed. </li></ul><ul><li> Benefits Review our benefits </li></ul> How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. You will be evaluated for this job based on how well you meet the qualifications above. All applicants will be rated on the following Competencies: <ul><li>Advanced Mathematical Reasoning </li><li>Analytic Thinking </li><li>Communication </li><li>Data Analysis </li><li>Interpersonal Ability </li><li>Problem Solving/Judgment </li><li>Technology Application </li></ul>Selective Placement Factor: In order to be considered for this position, applicants must respond to the following SPF question below. All qualifying experience MUST be provided within your RESUME to be considered. <ul> <li>Do you have experience using one or more programming languages? </li></ul>Your resume must indicate details regarding this experience. <ul><li> Benefits Review our benefits </li><li> Required Documents As a new or existing federal employee, you and your family may have access to a range of benefits. Your benefits depend on the type of position you have - whether you're a permanent, part-time, temporary or an intermittent employee. You may be eligible for the following benefits, however, check with your agency to make sure you're eligible under their policies. To apply to this position, interested applicants must provide a complete application package by the closing date which includes: 1. Your resume, specifically noting relevant work experience and associated start and end dates. 2. A complete assessment questionnaire. 3. Other supporting documents (if applicable): - College transcripts, if qualifying based on education or if there is a positive education requirement. - Notification of Personnel Action, SF-50; not applicable to current FBI employees. - Memorandum for Record (MFR), Please see Additional Information. - Most recent Performance Appraisal; not applicable to current FBI employees. - Veterans: DD 214; Disabled Veterans: DD 214, SF-15, and VA letter dated 1991 or later. </li><li> How to Apply To apply for the Data Analyst position, please click here. Agency contact information Human Resources HQ S </li></ul>

Overview: Reports to: Manager, Data Analytics Functions Supervised: None Primary Functions: A Senior Data Analyst takes on a leadership role and provides input into strategic decisions about reporting solutions, architecture, and technology. They take ownership of business lines and become an expert in that area. In short, they become a strategic partner with their business customers. They excel in query writing and report building and designing and implementing end-to-end reporting solutions. They can lead a team of developers and provide departmental direction, oversee multiple projects, and collaborate closely with stakeholders and senior management. They ensure best practices, maintain standards, and play a key role in shaping the organization's business analysis function. Duties and Responsibilities: <ol> <li>Works independently with Business users and domain SMEs to understand requirements. </li><li>Defines and maintains data models (dimensional models with conformed dimensions, entity relational models), and Data Vault models to satisfy analytics requirements. </li><li>Defines and builds ETL processes to load and reconcile data in the warehouse. </li><li>Creates processes for capturing and maintaining metadata. </li><li>Assists in data mapping activities by specifying logic and business rules for transforming and preparing data. </li><li>Provides assistance and support to the development and publication of reports and dashboards. </li><li>Assists with Data Quality (DQ) and Master Data Management (MDM) initiatives. </li><li>Assists in developing governance processes around data management and the warehouse development. </li><li>Maintains in-depth knowledge of credit union operations and knowledge of current industry trends as well as current methods and technologies that relate to Data Warehousing, data preparation, data presentation practices and operations. </li><li>Provides project management for assigned BI projects. </li><li>Prepares and presents business proposals, recommendations, evaluations and selections of data preparation and integration tools, DQ and MDM tools and processes. </li><li>Performs other duties as assigned. </li></ol> Qualifications: Education: Bachelor's degree in Business, Computer Science, Management Information Systems or related field. Creditable Experience in Lieu of Education: Minimum of 2 years of Data Warehouse Developer III or six years of Data Analytics and reporting. Completion of SnoPro Certification or Tableau Data Analyst Certification is preferred. Experience/Skills: Strong oral, written, administrative, organizational, and inter-personal skills. The ability to analyze problems, develop alternatives and recommendations. Proficiency in SQL and self-service analytics tools such as Excel, Power Pivot, YellowFin, Snowflake, PowerBI, Tableau etc. Familiarity with Visual Studio, Master Data Management, data quality tools, data integration tools, R, and Python is desired. Financial Services experience and familiarity of big data concepts is a plus. Tenure: Assignment to Senior Data Analyst category 07 will be determined by the candidate's education or experience. Advancement requires management recommendation and will be based on the candidate's certifications and/or performance. Compensation: Salary Pay Range: <ul> <li>Data Analyst I (Category 10): $57,484 - $90,825 annually </li><li>Data Analyst II (Category 09): $63,233 - $101,804 annually </li><li>Data Analyst III (Category 08): $72,717 - $119,983 annually </li><li>Senior Data Analyst (Category 07): $82,171 - $137,981 annually </li></ul> Starting base salary will be determined based on candidate experience, qualifications, education, and local or state wage requirements, if applicable and will fall within the range provided above. In accordance with our Salary Administration policy, new hire base salaries generally fall within the minimum to midpoint of the listed range. Benefits: <ul> <li>Short-term and long-term incentives </li><li>Comprehensive medical, dental and vision insurance plan that has HSA and FSA options </li><li>401(k) plan with a 5% match </li><li>Employee Assistance Program (EAP) </li><li>Life and disability coverage </li><li>Voluntary cash benefits for accident, hospitalization and critical illness </li><li>Tuition Reimbursement </li><li>Generous leave programs to include Paid Time Off accrual, Paid Sick Leave, Paid Holidays </li><li>Click here to view Globals comprehensive Benefits Programs. </li></ul> Equal Opportunity Employer

Overview: Reports to: Manager, Data Analytics Functions Supervised: None Primary Functions: A Senior Data Analyst takes on a leadership role and provides input into strategic decisions about reporting solutions, architecture, and technology. They take ownership of business lines and become an expert in that area. In short, they become a strategic partner with their business customers. They excel in query writing and report building and designing and implementing end-to-end reporting solutions. They can lead a team of developers and provide departmental direction, oversee multiple projects, and collaborate closely with stakeholders and senior management. They ensure best practices, maintain standards, and play a key role in shaping the organization's business analysis function. Duties and Responsibilities:<ol><li style="color: black; margin-bottom: 4.5pt;">Works independently with Business users and domain SMEs to understand requirements.</li><li style="color: black; margin-bottom: 4.5pt;">Defines and maintains data models (dimensional models with conformed dimensions, entity relational models), and Data Vault models to satisfy analytics requirements.</li><li style="color: black; margin-bottom: 4.5pt;">Defines and builds ETL processes to load and reconcile data in the warehouse.</li><li style="color: black; margin-bottom: 4.5pt;">Creates processes for capturing and maintaining metadata.</li><li style="color: black; margin-bottom: 4.5pt;">Assists in data mapping activities by specifying logic and business rules for transforming and preparing data.</li><li style="color: black; margin-bottom: 4.5pt;">Provides assistance and support to the development and publication of reports and dashboards.</li><li style="color: black; margin-bottom: 4.5pt;">Assists with Data Quality (DQ) and Master Data Management (MDM) initiatives.</li><li style="color: black; margin-bottom: 4.5pt;">Assists in developing governance processes around data management and the warehouse development.</li><li style="color: black; margin-bottom: 4.5pt;">Maintains in-depth knowledge of credit union operations and knowledge of current industry trends as well as current methods and technologies that relate to Data Warehousing, data preparation, data presentation practices and operations.</li><li style="color: black; margin-bottom: 4.5pt;">Provides project management for assigned BI projects.</li><li style="color: black; margin-bottom: 4.5pt;">Prepares and presents business proposals, recommendations, evaluations and selections of data preparation and integration tools, DQ and MDM tools and processes.</li><li style="color: black; margin-bottom: 4.5pt;">Performs other duties as assigned.</li></ol> Qualifications: Education: Bachelor's degree in Business, Computer Science, Management Information Systems or related field. Creditable Experience in Lieu of Education: Minimum of 2 years of Data Warehouse Developer III or six years of Data Analytics and reporting. Completion of SnoPro Certification or Tableau Data Analyst Certification is preferred. Experience/Skills: Strong oral, written, administrative, organizational, and inter-personal skills. The ability to analyze problems, develop alternatives and recommendations. Proficiency in SQL and self-service analytics tools such as Excel, Power Pivot, YellowFin, Snowflake, PowerBI, Tableau etc. Familiarity with Visual Studio, Master Data Management, data quality tools, data integration tools, R, and Python is desired. Financial Services experience and familiarity of big data concepts is a plus. Tenure: Assignment to Senior Data Analyst category 07 will be determined by the candidate's education or experience. Advancement requires management recommendation and will be based on the candidate's certifications and/or performance. Compensation: Salary Pay Range:<ul><li>Data Analyst I (Category 10): $57,484 - $90,825 annually</li><li>Data Analyst II (Category 09): $63,233 - $101,804 annually</li><li>Data Analyst III (Category 08): $72,717 - $119,983 annually</li><li>Senior Data Analyst (Category 07): $82,171 - $137,981 annually</li></ul>Starting base salary will be determined based on candidate experience, qualifications, education, and local or state wage requirements, if applicable and will fall within the range provided above. In accordance with our Salary Administration policy, new hire base salaries generally fall within the minimum to midpoint of the listed range. Benefits: <ul><li>Short-term and long-term incentives</li><li>Comprehensive medical, dental and vision insurance plan that has HSA and FSA options</li><li>401(k) plan with a 5% match</li><li>Employee Assistance Program (EAP)</li><li>Life and disability coverage</li><li>Voluntary cash benefits for accident, hospitalization and critical illness</li><li>Tuition Reimbursement</li><li>Generous leave programs to include Paid Time Off accrual, Paid Sick Leave, Paid Holidays</li><li><a href="https://alaskausa.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=18788&hashed=-1006016793" target="_blank" rel="noopener">Click here to view Globals comprehensive Benefits Programs</a>.</li></ul>Equal Opportunity Employer

Job Summary: The Southcentral Foundation (SCF) Data Analyst is responsible for data mining, analysis, and statistical reporting of data to support operations, research, and regulatory requirements using structured query language. May also be responsible for user training/support, application support and automation of business processes. SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF's geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF's vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services: Qualifications: SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF's geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF's vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services: 1. Bachelor's degree in information management, statistics, finance and/or healthcare related field; or combination of equivalent training/education and experience. 2. Two years' experience in producing data visualizations using a visualization software, data mining, extraction, analysis, and reporting using structured query language, analyzer, data and report writing tools such as MS Query Analyzer/SQL Enterprise Manager, R, PL/SQL, Aqua Data, Crystal Reports or SQL Reporting Services. Additional Qualifications for Data Analyst II: Meets all requirements of Data Analyst I in addition to the following: 1. Two (2) years of demonstrated experience at the Data Analyst I level OR demonstrated proficiency as a Data Analyst I at SCF. Native Preference: Under P.L. 93-638, as amended, the company pursues a policy of Native preference in hiring, contracting and training.SCF Human Resources must receive certification before applicants receive preference. Employee Health Requirements: Compliance with our Employee Health Procedure is a condition of SCF employment.You are required to agree that you will comply with all job-related employee health screening and immunizations prior to your first day of employment.Jobs designated as a Health Care Personnel (HCP) position, requires that you have documentation that you have completed the following immunizations prior to your first day of employment: MMR (Measles, Mumps and Rubella, Varicella (Chicken Pox), Hepatitis B, Influenza, T-dap (Tetanus - Diphtheria - Pertussis), and COVID-19 vaccination is required.

Job Description Junior Data Analyst - onsite Job, 1+ Year Experience Annual Income: $57K - $67K A valid work permit is necessary in the US/Canada About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities. Role Responsibilities: <ul><li>Work in close collaboration with the Business Intelligence Lead, Federal Data Lead, and other Program teams</li><li>Develop, maintain, and improve BI tools, build and enhance standard operating procedures (SOPs)</li><li>Manage various data sets and active Google workbooks with adjacent contract teams, monitor and analyze financial health information at the project and program levels</li><li>Communicate with client leadership to assess data needs and emerging requirements</li><li>Work with large data sets, workbooks, and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.</li><li>Gather requirements and lead the development of long-term data management tools, processes, and solutions based on organizational needs.</li><li>Be comfortable working with collaboration tools such as; Google Suite, Microsoft Office</li><li>Providing general support to the client including, but not limited to, analysis, data calls, financial management, risk management, audits, and project management-related tasks.</li></ul> Qualifications: <ul><li>Bachelor's Degree in business, business intelligence, data or information management, or similar.</li><li>Proficient in Google Scripts</li><li>Minimum 1 year of data or information management and/or data analysis experience.</li><li>Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).</li><li>Experience with developing in Google App Script is a plus.</li><li>Experience using SQL Developer is a plus.</li><li>Excellent written and verbal communication skills.</li><li>Willing to work in an administratively manual environment while working towards automation of processes in the future.</li></ul>

Data Analyst Jobs in Anchorage, AK

Data Analyst
October 22, 2024

Senior Data Analyst
October 16, 2024

Data Analyst
October 13, 2024

Senior Data Analyst
October 12, 2024

Senior Data Analyst
October 11, 2024

Data Analyst I Ii
October 10, 2024

Data Analyst I Ii
October 8, 2024

Junior Data Analyst
October 5, 2024

Data Analyst
October 5, 2024

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Data Analyst Jobs in Anchorage, AK

Data AnalystOctober 22, 2024

Senior Data AnalystOctober 16, 2024

Data AnalystOctober 13, 2024

Senior Data AnalystOctober 12, 2024

Senior Data AnalystOctober 11, 2024

Data Analyst I IiOctober 10, 2024

Data Analyst I IiOctober 8, 2024

Junior Data AnalystOctober 5, 2024

Data AnalystOctober 5, 2024