Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst on a 3-month remote contract, offering a pay rate of "TBD." Key skills include 5+ years in data analytics, Workday reporting, Power BI dashboard development, and strong storytelling abilities.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
488
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πŸ—“οΈ - Date discovered
August 19, 2025
πŸ•’ - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Qlik #Security #DAX #Leadership #Storytelling #Programming #Qualitative Data #Data Quality #Visualization #R #Tableau #Workday #BigQuery #Business Analysis #BI (Business Intelligence) #Mathematics #Microsoft Power BI #Data Security #Looker #Data Warehouse #Stories #Microsoft Excel #Data Wrangling #Python #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Statistics #Data Analysis
Role description
Job Title: Sr HR Data Analyst Location: Remote Duration: 03 Months Contract Shift: 8:00 AM - 5:00 PM (Monday - Friday) β€’ Job Description: β€’ In this role, you will be responsible for analyzing and presenting employee data to improve workforce decisions in innovative ways that drive business performance and growth. β€’ You will collaborate with HR partners and business stakeholders to identify critical questions, design and execute analysis plans, and translate findings into actionable recommendations. β€’ You will work across all areas of the talent lifecycle, including headcount and workforce planning, recruiting, career development, diversity and inclusion, organizational effectiveness, engagement, company culture, and retention. β€’ Partner with HR partners and functional teams (e.g. Finance, IT, Legal, Sales, Marketing, and M&A) to understand their business needs and translate them into actionable HR analytics projects. β€’ Develop reports in Workday to support analytics projects and stakeholders. β€’ Design and enhance Power BI dashboards using data visualization best practices. β€’ Develop and maintain a deep understanding of HR data sources and ensure data quality and integrity. β€’ Maintain and enhance recurring analytic deliverables (e.g., Employer of Choice Reporting, Talent Acquisition Staffing Model, & Monthly Business Review Materials). β€’ Prepare and stage data for analysis (i.e., data wrangling, cleaning, transforming, merging, and modeling). β€’ Analyze quantitative and qualitative data to identify trends and correlations in key workforce metrics. β€’ Proactively identify workforce challenges and opportunities through predictive and prescriptive analytics techniques. β€’ Translate data into visually compelling stories and deliver presentations summarizing analytic findings. β€’ Stay up-to-date on emerging trends in HR analytics and recommend new tools and techniques to advance the team’s capabilities. Required Experience β€’ 5 years of relevant work experience with data and analytics. β€’ Experience developing custom Workday reports β€’ Ability to develop dashboards using Power BI dashboards and DAX β€’ Strong storytelling and presentation skills with the capability to effectively communicate complex concepts to senior leaders and non-experts both verbally and in writing. β€’ Critical thinking with a passion for data, analysis, and driving business outcomes. β€’ Ability to navigate ambiguity and competing priorities. β€’ Strong commitment to maintain the confidentiality of sensitive employee information and an understanding of data security and privacy. β€’ Proficient in Microsoft Excel and Google Sheets (e.g., PivotTables, Vlookup) β€’ Required Leadership Traits and Characteristics β€’ Critical thinking skills in formulating hypotheses, interpreting results. Preferred Experience: β€’ Experience in data visualization and analysis tools such as Power BI, Looker Studio, Qlik, or Tableau. β€’ Proficiency in Microsoft Excel and Google Sheets. β€’ Technical capabilities in data wrangling, analytical techniques, internal and external benchmarking, and business analysis. Familiarity with programming languages such as SQL, Python, or R preferred. β€’ Experience in building and optimizing data warehouses, pipelines, and models. Experience with Google BigQuery preferred. β€’ Experience with Workday Analytics (Dashboards, Discovery Boards, Prism, Benchmarking, etc.) preferred. β€’ Formal Education, Qualifications or Training β€’ Bachelor’s degree in relevant fields such as Statistics, Econometrics, Operations Research, or Applied Mathematics.