Sr HR Data Analyst

Mindlance
Atlanta, GA
Full-time

Job Description : Job title : Sr HR Data Analyst

REMOTE Role

We are proud to be the global leader in Pest Control and other services across more than countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries.

We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."

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 execute analysis plans, and translate findings into actionable recommendations.

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.

  • Partner with HR partners and functional teams ( Finance, IT, Legal, Sales, Marketing, and M&A) to understand their business needs and translate them into actionable HR analytics projects.
  • Develop reports in Workday to support analytics projects and stakeholders.
  • Design and enhance Power BI dashboards using data visualization best practices.
  • Develop and maintain a deep understanding of HR data sources and ensure data quality and integrity.
  • Maintain and enhance recurring analytic deliverables (, Employer of Choice Reporting, Talent Acquisition Staffing Model, & Monthly Business Review Materials).
  • Prepare and stage data for analysis (, data wrangling, cleaning, transforming, merging, and modeling).
  • Analyze quantitative and qualitative data to identify trends and correlations in key workforce metrics.
  • Proactively identify workforce challenges and opportunities through predictive and prescriptive analytics techniques.
  • Translate data into visually compelling stories and deliver presentations summarizing analytic findings.
  • Stay up-to-date on emerging trends in HR analytics and recommend new tools and techniques to advance the team’s capabilities.

Required Experience

  • years of relevant work experience with data and analytics.
  • Experience in data visualization and analysis tools such as Power BI, Looker Studio, Qlik, or Tableau.
  • 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.
  • Ability to navigate ambiguity and competing priorities.
  • 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 (, 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 developing custom Workday reports
  • 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.
  • Experience with Workday Analytics (Dashboards, Discovery Boards, Prism, Benchmarking, etc.).

Formal Education, Qualifications or Training

  • Bachelor’s degree in relevant fields such as Statistics, Econometrics, Operations Research, or Applied Mathematics.
  • 4 days ago
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