Sql data analyst Jobs in Sioux Falls, SD
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Sql data analyst • sioux falls sd
Last updated: 2 days ago
People Data and Insights Strategy • Ensure that the people analytics strategy is closely aligned with the overall business objectives.
Gather and integrate data from various sources such as H...Show moreLast updated: 2 days ago
Summary : The engineer in this position should have a wealth of experience engineering / installing datacenter equipment.
The engineer will typically take on the more complex work and pull all aspects ...Show moreLast updated: 20 days ago
One of the most well-respected and prestigious locally owned and operated banks in the tri-state area.They are employee owned, have a history of promoting people within, and believe in giving back ...Show moreLast updated: 30+ days ago
The DCIM (Data Center Infrastructure Management) Business Analyst plays a crucial role in coordinating, organizing, and reporting Sunbird Software's Client Services key performance indicators (KPIs...Show moreLast updated: 30+ days ago
As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference ...Show moreLast updated: 26 days ago
Credit Analyst III page is loaded## Credit Analyst IIIlocations : Sioux Falls, SD : Aberdeen, SD : Rapid City, SDtime type : Full timeposted on : Posted Todayjob requisition id : 2026-14453## • • • • •If you...Show moreLast updated: 14 days ago
Assists in the preparation of monthly forecasts, annual budget, and state franchise taxes for the organization.Ensures the accuracy and integrity of financial data through detailed analysis, collab...Show moreLast updated: 6 days ago
If you are a current FIB employee, please apply through the Career Worklet in the.This position can be located at our Rapid City, Aberdeen or Sioux Falls, SD branch.
We know your career is just one ...Show moreLast updated: 23 days ago
Senior People Data Analyst
MaximusSioux Falls, USFull-time
- Promoted
Data Center Engineer
ADEXSioux Falls, SD, United StatesFull-time
Business Analyst
Executive Recruiting Consultants, IncSioux Falls Area, SDFull-time
Business Analyst
Sunbird Software Inc.Sioux Falls, SD, USFull-time
Quick Apply
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateBrandon, South Dakota, USRemote
Full-time
- Promoted
Credit Analyst III
First InterstateSioux Falls, SD, United StatesFull-time
- Promoted
Finance Analyst
First PREMIER Bank / PREMIER BankcardSioux Falls, SD, United StatesFull-time
Credit Analyst III
First Interstate BankSioux Falls, SDFull-time
- associate dentist (from $ 135,000 to $ 250,000 year)
- engineering director (from $ 147,500 to $ 241,268 year)
- software engineering manager (from $ 173,513 to $ 235,300 year)
- environmental engineering (from $ 62,455 to $ 232,300 year)
- client relationship manager (from $ 51,875 to $ 231,200 year)
- software architect (from $ 145,000 to $ 220,020 year)
- director of engineering (from $ 135,000 to $ 216,300 year)
- computer engineering (from $ 62,455 to $ 216,200 year)
- fpga design engineer (from $ 168,700 to $ 216,200 year)
- computer security (from $ 135,000 to $ 216,200 year)
- Newark, NJ (from $ 130,000 to $ 190,320 year)
- Richmond, VA (from $ 87,019 to $ 187,500 year)
- Richmond, CA (from $ 87,019 to $ 187,500 year)
- Salt Lake City, UT (from $ 80,000 to $ 158,325 year)
- Kansas City, MO (from $ 81,250 to $ 156,000 year)
- Oklahoma City, OK (from $ 80,000 to $ 156,000 year)
- West Valley City, UT (from $ 78,000 to $ 156,000 year)
- New York, NY (from $ 88,140 to $ 154,300 year)
- Jersey City, NJ (from $ 80,000 to $ 154,300 year)
- Orange, CA (from $ 70,000 to $ 150,000 year)
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
Senior People Data Analyst
MaximusSioux Falls, US2 days ago
Job type
- Full-time
Job descriptionPartner with HR, business leaders, and cross-functional teams to understand their data and insight needs and deliver data-driven solutions. Work closely with the senior employee engagement manager to define data led employee engagement initiatives and strategies Present findings and recommendations in a clear, concise manner that resonates with both technical and non-technical audiences. Act as a trusted advisor on how to use data to drive workforce strategies and decisions. Define and monitor key performance indicators (KPIs) related to workforce performance, engagement, and productivity. Establish benchmarks and track progress against workforce goals and industry standards. Continuously enhance metrics and reporting frameworks to reflect evolving business needs. Analyse workforce data to uncover trends, patterns, and insights that inform HR and organisational strategies. Perform root cause analyses to address workforce challenges, such as turnover, absenteeism, or engagement. Develop and deliver dashboards, reports, and presentations that provide clear, actionable insights for HR leaders and stakeholders. Build predictive models to forecast workforce trends and help anticipate challenges in areas like turnover, hiring, and talent mobility. Leverage advanced analytics techniques, such as regression analysis, clustering, and machine learning, to solve complex people-related questions. Continuously refine models based on feedback and evolving organisational needs. Craft a compelling storyline that guides the audience through the data, providing context and highlighting key insights. Craft insights that amplify that value of data, insights and foster a culture of data centric decisions Ensure the data is accurate, relevant, and well-understood. High-quality data forms the foundation of your story. Use impactful visual elements like charts, graphs, and diagrams to make the data more accessible and engaging. Tailor the delivery of your data story to meet the needs and understanding level of your audience. Focus on insights that drive action and decision-making, making the story not just informative but also practical. Ensure the accuracy, integrity, and security of people data by adhering to best practices in data management and governance. Partner with IT and HR teams to enhance data collection processes and ensure seamless integration across systems. Identify and resolve inconsistencies or gaps in data sources. Leverage HRIS, people analytics platforms, and business intelligence tools (e.g., Tableau, Power BI, SQL, Python) to perform data analysis and visualisation Degree in Data Science, Statistics, Economics, Business Analytics, or a related field. 5+ years of experience in data analytics, with at least 2 years focused on people or workforce analytics. Proficiency in analytics tools such as Tableau, Power BI, or similar visualization software. Advanced skills in statistical analysis and programming languages such as SQL, Python, or R. Strong understanding of HR processes and metrics (e.g., turnover, engagement, diversity, and inclusion). Experience with HR systems (e.g., Workday, SAP SuccessFactors) and data integration is a plus. Proven ability to translate complex data into clear, actionable insights for a diverse range of stakeholders. Analytical Mindset : Strong problem-solving skills with a focus on deriving insights from data. Communication Skills : Ability to distill complex analyses into compelling narratives that resonate with stakeholders. Attention to Detail : Ensures accuracy and reliability in data analysis and reporting. Collaboration : Works effectively with HR teams, business leaders, and technical teams to align on priorities. Adaptability : Thrives in a fast-paced, evolving environment and can pivot quickly to meet changing needs.
1. People Data and Insights Strategy
- Ensure that the people analytics strategy is closely aligned with the overall business objectives.
- Gather and integrate data from various sources such as HR systems, employee surveys, and performance metrics.
- Identify key performance indicators (KPIs) that are relevant to the organisation's goals.
- Use historical data to predict future trends and outcomes
- Translate data insights into actionable recommendations that help stakeholders implement strategies to improve workforce outcomes.
- Developing storytelling techniques to engage and inspire end users to act
- Serve as a subject matter expert on data, insights and trends
2. Stakeholder Collaboration :
3. Metrics Development and Monitoring :
4. Data Analysis and Insights :
2. Predictive and Advanced Analytics :
4. Storytelling :
4. Data Governance and Quality :
6. Technology and Tools :
Qualifications & Experience
Individual Competencies
EEO Statement
Maximus is committed to developing, maintaining and supporting a culture of diversity, equity and inclusion throughout the recruitment process. We know that feeling included has a dramatic impact on personal well-being and are working to ensure that no job applicant receives less favourable treatment due to any personal characteristic. Advertisements for posts will include sufficiently clear and accurate information to enable potential applicants to assess their own suitability for the post.
We are a Disability Confident Leader, thanks to our commitment to the recruitment, retention and career development of people with disabilities and long-term conditions. The Disability Confident scheme includes a guaranteed interview for any applicant with a disability who meets the minimum requirements for a job. When you complete your job application you will find a question asking you if you would like to apply under the Disability Confident Guaranteed Interview Scheme. If you feel that you have a disability and apply under this scheme, providing that you meet the essential criteria for the job, you will then be invited for an interview. YourGuaranteed Interview application will only be shared with the hiring manager and the local resourcing team. Where reasonable, Maximus will review and consider adjustments for those applicants who express a requirement for them during the recruitment process.
Minimum Salary
66,001.00
Maximum Salary
75,500.00