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Open nowPosted 10 hours ago

Data Analyst Sr

Valtech136 open roles

Where
United States - Remote
Work mode
Remote
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Your applicationOpen nowData Analyst SrValtech · United States - Remote
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Valtech postings stay open a median of 13 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 10 hours ago

Valtech median: 13 days open

The posting

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

  • The work we do and the innovation we drive
  • Our values of share, care and dare
  • Our borderless, global framework, which enables seamless collaboration

The role

As a Data Analyst, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 3+ YEARS of experience, a growth mindset and a drive to make a lasting impact.

The Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making.

The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements.

You will thrive in this role if you are:

  • A curious problem solver who challenges the status quo
  • A collaborator who values teamwork and knowledge-sharing
  • Excited by the intersection of technology, creativity and data
  • Experienced in Agile methodologies and consulting (a plus)

Role responsibilities

  • Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis.
  • Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight.
  • Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities.
  • Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs.
  • Validate data quality, troubleshoot reporting issues, and resolve complex data logic challenges in partnership with adjacent teams where needed.
  • Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders.
  • Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions.
  • Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

  • Extensive experience creating scalable, stakeholder facing reporting solutions in Tableau.
  • Demonstrated experience with Python and SQL
  • Experience working in cloud-based data environments (Microsoft Azure, GCP, AWS)
  • Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles.
  • Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight.
  • Ability to turn data into clear, business-relevant insights and recommendations.
  • Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance.
  • Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences.

AI Fluency / AI-Assisted Analytics Expectations

Expected to be an active adopter of approved AI-enabled analytics and productivity tools that improve the speed, clarity, and quality of reporting, insight generation, documentation, and stakeholder communication. Uses AI-assisted workflows to help explore patterns, summarize findings, draft analysis narratives, validate assumptions, improve metric documentation, and accelerate repeatable reporting tasks while maintaining human accountability for analytical judgment, data accuracy, business interpretation, and final recommendations.

Understands that AI-generated analysis, summaries, or recommendations must be checked against source data, metric definitions, business context, and governance expectations before being shared or used for decision-making. Demonstrates curiosity and practical enthusiasm for how AI can improve analytics quality, productivity, and decision support without replacing disciplined analysis or stakeholder reasoning.

At this level, AI fluency means reliable use within workstreams. Expected to apply approved AI-assisted workflows to improve delivery quality, repeatability, documentation, and stakeholder communication, and to help junior practitioners understand where AI can and cannot be used responsibly.

Nice to have qualifications

  • Databricks experience and/or certifications
  • Knowledge of finance business concepts and analytics approaches especially within a retail product pricing context
  • Familiarity with other business intelligence platforms (Power BI, Looker)
  • Additional analytics, business intelligence, or experimentation platform experience and training as relevant

Collaboration / Stakeholder Expectations

  • Serves as a dependable analytics partner to internal teams and client stakeholders across reporting, dashboarding, and insight generation needs.
  • Partners with stakeholder Data Engineering and Platform teams when reporting requirements or data logic require more scalable or technical solutions.
  • Participates confidently in client-facing discussions by explaining methodology, findings, reporting logic, and implications in clear business language.
  • Helps create consistency across team delivery by improving documentation, sharing best practices, and supporting more junior practitioners.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

The benefits

This is a full-time position based in the United States. The offered salary range is $90K - $140K annually, depending on experience and location.

Beyond a competitive compensation package, we offer:

  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts
  • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.

For applicants in California, please see Valtech's CPRA Privacy Notice here.

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