Human Resource(HR) Data Analyst

Job Title: Sr. HR Data Analyst

Duration: 3 months

Location: 100% remote

Job Description:

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. You will collaborate with HR partners and business stakeholders to identify critical questions, design and build dashboards, and translate data into insight.
• Design and enhance Power BI dashboards using data visualization best practices.
• 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.
• Develop and maintain a deep understanding of HR data sources and ensure data quality and integrity.
• Prepare and stage data for analysis (i.e., data wrangling, cleaning, transforming, merging, and modeling).

Required Experience:
• 5 years of relevant work experience with data and analytics.
• In depth experience with Power BI (DAX, modeling, measures, automation)
• Ability to navigate ambiguity and competing priorities.
• Strong storytelling and presentation skills with the capability to effectively communicate complex concepts to senior leaders and non-experts both verbally and in writing.
• Critical thinking with a passion for data, analysis, and driving business outcomes.
• Strong commitment to maintain the confidentiality of sensitive employee information and an understanding of data security and privacy.
• Proficient in Microsoft Excel and Google Sheets (e.g., PivotTables, Vlookup)

Required Leadership Traits and Characteristics:
• Critical thinking skills in formulating hypotheses, interpreting results.
• Ability to anticipate problems and opportunities and the initiative to pursue solutions.
• Intellectual curiosity and ability to handle high levels of ambiguity
• Ability to communicate complex statistical concepts and output to non-experts in both a written and verbal manner.
• Business insight.
• Ability to work under pressure and within tight deadlines
• Attention to detail

Preferred Experience:
• Experience with Workday
• Technical capabilities in data wrangling, analytical techniques, internal and external benchmarking, and business analysis. Familiarity with coding languages such as SQL, Python, or R.
• Experience in building and optimizing data warehouses, pipelines, and models. Experience with Google BigQuery.

Thanks,

Yeshwant