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Data Analyst
Data AnalystSS Career page • Richmond, VA, US
Data Analyst

Data Analyst

SS Career page • Richmond, VA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

Description :

At SingleStone, we operate at the intersection of people and technology, engineering solutions that bring out the best in people. We are a team of problem-solvers, technologists, and strategists who believe in elevating humanity in business by delivering solutions that make a real impact on the lives of other people.

As a Data Analyst, you will play a key role in transforming data into actionable insights that help our clients make informed decisions. You’ll collaborate with engineers, project and technical leaders, and business stakeholders to uncover opportunities, identify trends, and visualize what matters most. This role blends analytical rigor with storytelling, curiosity, and a drive to deliver meaningful business outcomes. More specifically, here's what you'll do :

Prioritize Client Success

  • Translate questions into analytical problems and deliver clear, data-driven answers.
  • Create dashboards, reports, and visualizations that empower users to explore and understand key metrics.
  • Partner with stakeholders to uncover trends, anomalies, and insights that drive action and decision-making.

Get Comfortable Being Uncomfortable

  • Work with incomplete or messy data, asking the right questions to clarify and guide analysis.
  • Tackle ambiguity with confidence—identify assumptions, experiment quickly, and iterate fast.
  • Solve ambiguous problems by making informed decisions with the best available data.
  • Peel Back the Onion

  • Go beyond surface-level reporting to explore what’s really going on—why something happened, not just what.
  • Ask questions that challenge assumptions and dig into data to uncover root causes.
  • Use a hypothesis-driven approach to analysis, combining curiosity with a rigorous mindset.
  • Build to Last

  • Develop scalable and repeatable reporting and analytics solutions.
  • Ensure data integrity and quality in every analysis.
  • Document methods and train others to ensure continuity and shared understanding.
  • Embrace Being Small & Mighty

  • Be scrappy, stay hungry. Move fast, experiment, and adapt—speed and agility are extremely important.
  • Roll up your sleeves and get your hands dirty. Take ownership and find creative solutions to technical challenges.
  • Balance speed with quality—deliver fast, but don’t cut corners.
  • Help Others Be Great

  • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes.
  • Jump in wherever needed—from wrangling datasets to refining the story for an executive audience.
  • Make data approachable—translate complex analytics into plain language for non-technical audiences.
  • Why Join Us?

    At SingleStone, we’re more than just a consulting firm—we’re a people-first, purpose-driven company that thrives on creating value in every engagement. We offer :

  • A collaborative, supportive culture where you’ll be surrounded by smart, driven people who genuinely want to see you succeed.
  • Challenging, meaningful work with clients who trust us to solve their toughest problems.
  • The ability to make a real impact, not just within projects, but in shaping the future of our firm.
  • A dynamic workplace that values flexibility, autonomy, and real results.
  • Requirements :

  • At least two years of experience working with data to answer business questions—through analysis, visualization, and storytelling.
  • Proficiency with analytical tools like SQL, Excel, and BI platforms (e.g., Power BI, Tableau, Looker).
  • Strong communication skills—you can explain your thinking clearly and adapt to different audiences.
  • A curious mindset—you love digging into data and asking, “What else can we learn from this?”
  • Experience working with stakeholders to understand problems and deliver insights that matter.
  • A drive for continuous learning and growth in the evolving data landscape.
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