senior data analyst

Salla

<div>
 We are looking for a passionate Senior Data Analyst.
 
 
 The successful candidate will turn data into information, information into insight and insight into business decisions. Data Analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data Analyst will develop queries, reports, dashboards, and troubleshoot data issue. They will also monitor performance and quality control plans to identify improvements. Data Analyst will assist business departments in interpreting information, reports and dashboards and respond to their requests/questions. In addition, Data Analyst will assist data scientists in different AI projects, data engineers in requirements related to data preparation/management/governance, and data quality assurance officers in data integrity and cleansing activities.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Identify and acquire data from different data sources (production, warehouse, external sources) and organize the data in usable formats
 </li>
 <li>
 Develop and implement data collection systems, pipelines, data analytics and other strategies that optimize statistical efficiency and quality
 </li>
 <li>
 Interpret data, analyze results using statistical techniques, create visualizations of data and provide reports, and dashboards
 </li>
 <li>
 Identify, analyze, and interpret trends or patterns in complex data sets
 </li>
 <li>
 Use BI tools to analyze data, and extract useful business insights
 </li>
 <li>
 Filter and "clean" data by reviewing reports, dashboards, and performance indicators to locate and correct problems
 </li>
 <li>
 Locate and define new process improvement opportunities
 </li>
 <li>
 Supporting business departments and responding to their data-related requests and keeping track of these requests
 </li>
 <li>
 Supporting data engineers in identifying and revising reporting requirements
 </li>
 <li>
 Supporting initiatives for data integrity and normalization
 </li>
 <li>
 Training end-users on new reports and dashboards
 </li>
 <li>
 Work with management to prioritize business and information needs
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 <li>
 At least 3 years of experience as a Data Analyst or Business Data Analyst
 </li>
 <li>
 Proficiency in Python
 </li>
 <li>
 Excellent in Algorithms and Data Mining techniques
 </li>
 <li>
 Familiarity with database technology (design and implementation) and query language
 </li>
 <li>
 Strong knowledge of and experience with BI tools (e.g. Looker, Tableau..etc) and reporting packages
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages and python libraries for analyzing and visualizing datasets (NumPy, SciPy, Tensorflow, Keras, Pandas, Sklearn, MatplotLib... etc)
 </li>
 <li>
 Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
 </li>
 <li>
 Adept at queries, report writing and presenting findings
 </li>
 <li>
 Strong organizational and project management skills
 </li>
 <li>
 Good problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred
 </li>
 </ul>
</div>

Senior Data Analyst

Monument Health

Position PurposeWe are looking for an individual who has a passion for technology, analytics and healthcare. This is a highly technical role with deep and meaningful connections to clinical operations, business operations, strategy, and process improvement. The role will focus on the following key areas:Deep understanding of data and organizational information: The occupant of this role will be required to have a full and deep understanding of the processes and sources that generate information in the form of data for the organization. They will need to understand how we obtain or source data, the forms it takes, how it is manipulated or processed, where it is stored, how it can be used, and its strengths &amp; limitations. This deep knowledge of our data is fundamental to success in all other areas of the role.Strategic Stakeholder Engagement: This position entails independently engaging with stakeholders to understand and define strategic objectives, identifying critical business needs, and formulating actionable plans to achieve these goals. A deep understanding of organizational data is essential to serve as a reliable analytical resource for stakeholders. The individual will develop tailored solutions, present clear proposals, and ensure alignment with organizational strategy. Effective communication skills are paramount, as the role involves conveying complex information in a clear and accessible manner to diverse audiences. This role will also be responsible for keeping projects within scope, setting realistic expectations, and ensuring that deliverables are met on time.Metric development: Metrics are a natural extension of data. Monument Health uses metrics to measure the performance of our members, partners, and organization more generally. This role will be responsible to understand and demonstrate the principles of metric development (i.e. how metrics are calculated), understand why metrics are being calculated and how they relate back to the program or process being measured, manage the operational implementation of metrics via reporting, and be able to clearly and accurately explain metrics to a broad audience of stakeholders.Data analysis: The Senior Data Analyst role will have responsibility for conducting and presenting advanced analyses using data which are informative, clear, and free from bias. The Senior Data Analyst is expected to identify business needs, develop specific questions around it, assess the data available, develop a plan for analysis, select appropriate mathematical or statistical methods, perform analysis according to outlined plans and following appropriate methods that accounts for variance, bias, confounding, modification, &amp; other analysis pitfalls, develop summaries or visualizations, and clearly communicate conclusions inclusive of strengths and limitations with little to no oversight. This role must exercise discretion in determining what information is appropriate to share with stakeholders, maintaining confidentiality and trust.Reporting: Developing metrics, performing analysis, and understanding data all result in collaterals in the form of one-off or ongoing reporting. The Senior Data Analyst role will be responsible for developing reports for our internal team or for stakeholders &amp; partners. In order to do this effectively they will need to develop a mastery of the aforementioned areas. They will also need to demonstrate the effective use of technology, tools and platforms for report development, selection of appropriate data visualizations, and effective layout to optimize user time, understanding, and experience. The Senior Data Analyst role will also be responsible for the maintenance of reporting according to industry standards of optimization.Cross-functional IT Collaboration: This role is expected to possess or proactively develop skills in at least one additional area of responsibility within the IT department, such as pipeline development or application management. By immersing themselves in these domains, the individual will take ownership of tasks, becoming a subject matter expert (SME) and a key resource for the team.Process improvement: Monument Health places a high value on optimal use of resources via the principle of stewardship. This role will be responsible to identify opportunities to improve technical processes, build plans to address identified opportunities, and execute those plans. This role will be empowered to use a critical eye to identify how code, use of technical resources, algorithms, and reporting can be optimized and take necessary steps to achieve optimization goals.Citizenship: The Data Analyst role will be required to operate according to Monument Health core values and help advance the mission and vision of Monument Health.Essential Job Functions<ul><li>Compile, synthesize, and critically analyze clinical and other care-related information and data from a variety of sources in order to drive improvement in health outcomes, decrease cost and optimize the network.</li><li>Proactively identify areas for advanced analytics that align with organizational strategy.</li><li>Develop and maintain strong relationships and communication channels with stakeholders.</li><li>Independently manage portfolio of work, keeping projects within scope and deadlines.</li><li>Use code and open-source technologies to analyze and report key metrics, answer business/clinical questions using principles of causal inference and optimize internal processes and tools.</li><li>Present findings from analyses to stakeholders and colleagues using structured communication following critical internal review.</li><li>Complete comprehensive data reviews and perform internal analysis to evaluate the completeness and accuracy of clinical and business data.</li><li>Identify, use and teach new analytic and reporting technologies specific for the clinical and process analytics and reporting portfolio.</li><li>Drive metric development from conception through implementation utilizing trends, key performance indicators, industry standards, evidence-based literature, etc.</li><li>Manage clinical and process metric reporting using best demonstrated practices from analytic fields such as statistics, epidemiology, biostatistics, informatics, etc.</li><li>Develop, maintain, and utilize additional technical skills within another lane of responsibility in the IT department.</li><li>Light housekeeping (shared by all employees).</li><li>Protect Monument&rsquo;s value by keeping information confidential.</li><li>Review systems and processes and suggest/make modifications to address issues.</li><li>Occasional travel is required for conferences and assignments.</li><li>Perform other related duties as necessary for the purpose of ensuring the efficient and effective functioning of the organization.</li></ul>Knowledge, Skills, Abilities, and Other Characteristics<ul><li>Healthcare experience or other experience having worked in a healthcare setting is preferred.</li><li>1-3 years of increasing responsibility within an analytical role.</li><li>Demonstrable experience in using code to critically analyze or solve a problem is preferred.</li><li>Demonstrated analytic skills and aptitude for using open-source software and coding environments (e.g., Python, SQL, etc.).</li><li>Demonstrated skills in organization opted technologies (e.g., Tableau, GCP, etc.)</li><li>Must be a highly-motivated, self-driven person who can learn quickly and be comfortable in a fast-paced, start-up environment where direct feedback is regularly provided.</li><li>Must work well independently and on a team.</li><li>Must be skilled in high-impact, business communication and demonstrate critical thinking skills.</li><li>Must adopt and live the Monument Health core values.</li></ul>Education and Certifications RequirementsBaccalaureate degree required. Graduate degree preferred. Training in a technical field (e.g. math, statistics, epidemiology, biostatistics, business analytics, data science) is preferred.Location RequirementsThis position is open to candidates currently residing in, or willing to relocate to, one of the following states: Colorado, Nevada, Ohio, or Oklahoma.Pay: $40,000.00 - $65,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Disability insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid holidays</li><li>Paid time off</li><li>Retirement plan</li><li>Unlimited paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Do you live in or are willing to relocate to one of the following states?</li></ul>Colorado Oklahoma Nevada OhioEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data analytics: 1 year (Required)</li><li>Data visualization: 1 year (Required)</li></ul>Location:<ul><li>Grand Junction, CO 81501 (Preferred)</li></ul>Work Location: In person

iSpeedtoLead

As a Senior Data Analyst, you will play a key role in shaping our business by providing actionable insights, building advanced analytics, and supporting key decisions across teams. You will have real influence on product direction, business strategies, and operational improvements. You&rsquo;ll work closely with founders and cross-functional teams to build dashboards, monitor key metrics, and help drive the company&rsquo;s growth. This is a hands-on role for someone passionate about using data to make an impact.Key Responsibilities: <ul><li>Act as a strategic partner to business leaders, translating complex data into clear, actionable business strategies and decisions.</li><li>Build, maintain, and optimize dashboards and reports to support decision-making.</li><li>Analyze large datasets to identify trends, anomalies, and actionable opportunities.</li><li>Partner with cross-functional teams to define metrics and build analytical frameworks.</li><li>Automate recurring reporting processes to improve data accessibility and efficiency.</li><li>Present findings and recommendations to senior leadership with clarity and impact.</li><li>Support data governance and quality initiatives.</li></ul>Qualifications: <ul><li>5+ years of experience in data analytics or a similar field</li><li>Strong expertise with BigQuery, Looker and Power BI</li><li>Expert-level SQL; proficient in at least one scripting language (Python)</li><li>Experience using Generative AI to optimize and automate analytical workflows is a must have.</li><li>Ability to apply statistical methods (A/B testing, regression) to solve business problems.</li><li>Strong understanding of data modeling, ETL, and analytics</li><li>Experience working in fast-paced startup environments is a plus</li><li>Excellent communication and storytelling skills</li><li>Familiarity with marketing, product, or operations analytics.</li><li>English proficiency (both spoken and written)</li></ul>Why You&rsquo;ll Love It Here:<ul><li>You&rsquo;ll work at the core of a product-led, AI-powered startup where data drives every decision</li><li>Your work will ship-fast and impact thousands of users</li><li>High autonomy, low bureaucracy: we trust you to own your domain</li><li>Remote-first culture with flexible hours and async-friendly communication</li><li>A smart, passionate team that moves fast, supports each other, and builds cool stuff</li><li>15 paid vacation days + 5 paid sick days annually.</li><li>Paid access to courses, books, and growth resources.</li><li>Real decision-making power and ownership of your results.</li></ul>Apply here - https://ispeedtolead.peopleforce.io/careers/v/188640-senior-data-analyst?source_id=49678Pay: $2,000.00 - $6,000.00 per monthBenefits:<ul><li>Continuing education credits</li><li>Flexible schedule</li><li>Paid holidays</li><li>Paid sick time</li><li>Work from home</li></ul>Work Location: Remote

ICON HEALTH

<div><h3 class="jobSectionHeader">Job Title: Senior Data Analyst</h3>
Location: Remote 
Reports To: SVP, Data and Technology<h3 class="jobSectionHeader">
Who We Are</h3>
Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce total cost of care. Our model combines technology-enabled MSK providers, proactive care coordination, and decision support services to deliver multidisciplinary, evidence-based care.
We founded Icon Health on the belief that patients should be genuinely delighted with their care. Through team-based approaches, shared goals, and patient-centered design, we aim to transform a fragmented healthcare system into one that works better for everyone&mdash;especially patients and their clinical teams.
We operate with a culture of bold thinking, rapid iteration, and practical execution. We value team members who thrive in vertically integrated environments where ideas move quickly from concept to action, and where no task is too big or too small if it contributes to better outcomes.<h3 class="jobSectionHeader">
Who You Are</h3>
You&rsquo;re a thoughtful, detail-oriented analyst who gets excited about using data to solve complex problems and tell clear, actionable stories. You bring rigor, structure, and curiosity to every question you tackle. Whether you&rsquo;re pulling claims data, building dashboards, or modeling performance trends, you&rsquo;re motivated by clarity, impact, and usefulness.
You&rsquo;re collaborative by nature, and you thrive in cross-functional teams where you can connect the dots between technical systems, clinical operations, and business strategy. You&rsquo;re also comfortable in ambiguity and proactive in finding solutions when there isn&rsquo;t a pre-set path.<h3 class="jobSectionHeader">
What You&rsquo;ll Do</h3><ul><li>
Collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data driven answers.</li><li>
Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify trends, monitor KPIs, and support clinical and operational initiatives.</li><li>
Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives</li><li>
Develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes.</li><li>
Document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility.</li><li>
Contribute to a data culture that prioritizes accuracy, transparency, and business relevance. 
</li></ul><h3 class="jobSectionHeader">
What You&rsquo;ll Bring</h3>
None of these are strict requirements&mdash;we&rsquo;re looking for strong problem-solvers who can learn and grow in the role.<ul><li>
5&ndash;7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role. 
</li><li>
Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment). 
</li><li>
Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus. 
</li><li>
Experience with data visualization tools (e.g., Looker, Tableau, or similar). 
</li><li>
Strong Excel/Google Sheets skills for quick-turn modeling and reporting. 
</li><li>
Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work. 
</li><li>
Strong communication skills&mdash;you can translate complex analysis into clear narratives for non-technical stakeholders. 
</li><li>
A mindset of ownership, humility, and continuous improvement. 
</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Impact: Shape how care is measured, improved, and delivered to real patients and providers. 
</li><li>
Agility: Join a nimble team where your ideas can move quickly from concept to action. 
</li><li>
Flexibility: Work remotely from anywhere in the United States. 
</li><li>
Compensation: Competitive salary commensurate with experience. 
</li><li>
Benefits: Full medical/dental/vision, PTO, and employee-funded 401(k).</li></ul> 
Icon Health is proud to be an Equal Opportunity Employer. We are committed to 
building a diverse and inclusive team. 
 
We welcome candidates from diverse backgrounds; however, this position requires U.S. 
work authorization and we are not able to provide visa sponsorship at this time. 

ZtD1MLRYNA</div>

Icon Health

<div>
 
 
 
 
 
 
 Job Title: Senior Data Analyst
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Remote
 
 
 
 
 
 
 
 
 
 
 
 
 
 Reports To:
 
 
 
 
 
 
 
 
 
 
 
 
 SVP, Data and Technology
 
 
 
 
 
 
 
 
 
 
 
 
 
 Who We Are
 
 
 
 
 
 
 
 
 
 
 
 
 
 Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce total cost of care. Our model combines technology-enabled MSK providers, proactive care coordination, and decision support services to deliver multidisciplinary, evidence-based care.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 We founded Icon Health on the belief that patients should be genuinely delighted with their care. Through team-based approaches, shared goals, and patient-centered design, we aim to transform a fragmented healthcare system into one that works better for everyone&mdash;especially patients and their clinical teams.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 We operate with a culture of bold thinking, rapid iteration, and practical execution. We value team members who thrive in vertically integrated environments where ideas move quickly from concept to action, and where no task is too big or too small if it contributes to better outcomes.
 
 
 
 
 
 
 
 
 
 
 
 
 
 Who You Are
 
 
 
 
 
 
 
 
 
 
 
 
 
 You&rsquo;re a thoughtful, detail-oriented analyst who gets excited about using data to solve complex problems and tell clear, actionable stories. You bring rigor, structure, and curiosity to every question you tackle. Whether you&rsquo;re pulling claims data, building dashboards, or modeling performance trends, you&rsquo;re motivated by clarity, impact, and usefulness.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 You&rsquo;re collaborative by nature, and you thrive in cross-functional teams where you can connect the dots between technical systems, clinical operations, and business strategy. You&rsquo;re also comfortable in ambiguity and proactive in finding solutions when there isn&rsquo;t a pre-set path.
 
 
 
 
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data driven answers.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify trends, monitor KPIs, and support clinical and operational initiatives.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to a data culture that prioritizes accuracy, transparency, and business relevance.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 </ul>
 
 
 
 
 
 
 What You&rsquo;ll Bring
 
 
 
 
 
 
 
 
 
 
 
 
 
 None of these are strict requirements&mdash;we&rsquo;re looking for strong problem-solvers who can learn and grow in the role.
 
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 5&ndash;7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment).
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Experience with data visualization tools (e.g., Looker, Tableau, or similar).
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Strong Excel/Google Sheets skills for quick-turn modeling and reporting.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Strong communication skills&mdash;you can translate complex analysis into clear narratives for non-technical stakeholders.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 A mindset of ownership, humility, and continuous improvement.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 </ul>
 
 
 
 
 
 
 What We Offer
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Impact
 
 
 
 
 
 
 
 
 
 
 
 
 : Shape how care is measured, improved, and delivered to real patients and providers.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Agility
 
 
 
 
 
 
 
 
 
 
 
 
 : Join a nimble team where your ideas can move quickly from concept to action.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Flexibility
 
 
 
 
 
 
 
 
 
 
 
 
 : Work remotely from anywhere in the United States.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Compensation
 
 
 
 
 
 
 
 
 
 
 
 
 : Competitive salary commensurate with experience.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 <li>
 
 
 
 
 
 
 Benefits
 
 
 
 
 
 
 
 
 
 
 
 
 : Full medical/dental/vision, PTO, and employee-funded 401(k).
 
 
 
 
 
 
 
 &nbsp;
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Icon Health is proud to be an Equal Opportunity Employer. We are committed to
 
 building a diverse and inclusive team.
 
 
 We welcome candidates from diverse backgrounds; however, this position requires U.S.
 
 work authorization and we are not able to provide visa sponsorship at this time.
 
 
 
 
 
 
 
 
 
 &nbsp;
</div>

Harver

<div>About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company&rsquo;s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work. 
At Harver, we are:<ul><li>
Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.</li><li>
Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.</li><li>
Curious: We embrace curiosity as a driving force for continuous learning and innovation.</li></ul> 
Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries. 
This role focuses on the end-to-end execution of outcome studies&mdash;from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights. 
In this role you get to:<ul><li>
Client Data Management</li><li>
Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)</li><li>
Clean and standardize diverse data formats from enterprise HRIS and ATS systems</li><li>
Match client candidate records with Harver assessment data with high accuracy</li><li>
Troubleshoot data quality issues and communicate data requirements to clients</li><li>
Document data specifications and maintain data integrity throughout analysis lifecycle</li></ul>
Predictive Validity &amp; Outcome Analysis<ul><li>
Execute concurrent &amp; predictive validity studies using established statistical frameworks</li><li>
Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data</li><li>
Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)</li><li>
Perform disparate impact analyses to ensure assessment fairness</li><li>
Generate client-ready reports and visualizations communicating technical findings to business stakeholders</li></ul>
Technical &amp; Collaboration<ul><li>
Query and analyze data using Looker and SQL from internal databases</li><li>
Collaborate with Data Scientists on methodology refinement and framework improvements</li><li>
Support Client Success teams with technical questions and ad-hoc analyses</li><li>
Maintain analysis documentation and contribute to team knowledge base</li><li>
Present findings to internal stakeholders and client-facing teams</li><li>
Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions</li><li>
Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future</li></ul> 
We&rsquo;re looking for people who have:<ul><li>
5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting</li><li>
Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets</li><li>
Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)</li><li>
Experience applying machine learning models as a user (model scoring, interpretation, validation)</li><li>
Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)</li><li>
SQL proficiency for data extraction and transformation</li><li>
Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.</li><li>
Strong communication skills&mdash;ability to explain technical concepts to non-technical audiences</li><li>
Excellent attention to detail and commitment to data accuracy</li><li>
Self-directed work style with ability to manage multiple client projects simultaneously</li></ul> 
Preferred<ul><li>
Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)</li><li>
Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact</li><li>
Experience in HR analytics or workforce analytics</li><li>
Experience with BI tools (Looker, Tableau, Power BI, or similar)</li><li>
Background working with enterprise clients or in client-facing analytical roles</li><li>
Knowledge of EEOC guidelines and employment law considerations in assessment validation</li></ul> 
Why Join Harver:<ul><li>
Work with Fortune 500 clients on high-impact talent decisions</li><li>
Collaborate with a senior team of data scientists and engineers</li><li>
Contribute to cutting-edge work in AI-driven talent assessment</li><li>
Opportunity to grow into more strategic or technical roles</li></ul> 
Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta location. 
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.</div>

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "Senior Data Analyst".
 
 
 
 
 
 
 Job purpose:
 
 
 
 To structure and automate organizational data to ensure accuracy, consistency, and alignment across systems, while transforming data into actionable insights that drive key business metrics, optimize costs, and increase overall company value. The role also supports the identification and enablement of data monetization opportunities, contributing to the development of new data-driven revenue streams.
 
 
 
 
 
 
 Key accountabilities:
 
 
 <ul>
 <li>
 Creating reports and developing tools and processes to automate reports.
 </li>
 <li>
 Developing ML algorithms to analyze huge volumes of historical data to make predictions.
 </li>
 <li>
 Analyzing large amounts of data relating to sales, customers or financial performance.
 </li>
 <li>
 Using Structured Query Language (SQL), Tableau Prep and Python to extract data.
 </li>
 <li>
 Aligning reports to business objectives and key performance indicators.
 </li>
 <li>
 Collaborating with other business areas and leaders to identify reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 5-7+ Years of experience
 </li>
 <li>
 Minimum bachelor&rsquo;s degree in data or a numerate subject
 </li>
 <li>
 Functional Knowledge (Data Analytical &amp; Strong troubleshooting and report writing abilities)
 </li>
 <li>
 Business Expertise (Business, Market &amp; Industry Knowledge)
 </li>
 <li>
 Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

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