Search for Data Analyst positions in Santa Clara, CA, focusing on finance-related roles, with 5+ years of experience, requiring strong skills in Power BI and SQL, and full-time job mode.

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Data Analyst

Santa Clara, CA

5 years + Experience

Power BI

SQL

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Analyst role at NVIDIA is fundamentally about transforming complex financial data into actionable insights that support the decision-making processes within the Finance organization. The primary responsibilities revolve around collaboration with various financial and cross-functional teams to define reporting requirements and build scalable reporting solutions using tools like Power BI and Tableau. Success in this role hinges not only on technical proficiency in extracting and modeling data from systems like SAP but also on the ability to communicate effectively with both technical and non-technical stakeholders. This is crucial because the role requires converting intricate data sets into clear narratives that highlight current conditions, issues, and recommended actions. Candidates must expect challenges such as ensuring data accuracy amidst potentially conflicting datasets and navigating the intricacies of financial metrics, necessitating a blend of analytical skills and business acumen. Performance in the role can be measured through KPIs related to the accuracy and usability of reports, the speed at which insights are generated, and the overall satisfaction of stakeholders with the reporting solutions provided.

Company Analysis:

Lensa operates in a dynamic space focused on revolutionizing the job search process through innovative machine learning applications. Positioned as a leader in career platforms, Lensa emphasizes efficiency and user-centric solutions, impacting how companies engage with potential candidates. This innovative culture is likely fast-paced and heavily reliant on technology, aligning with NVIDIA's reputation as a cutting-edge player in AI and computing. For a Data Analyst, this means a work environment that prioritizes creativity and technical expertise, enabling the individual to thrive on challenges and contribute meaningfully to impactful financial outcomes. The role is positioned within a collaborative organizational structure where cross-functional teamwork is essential, providing ample visibility to leadership, especially when delivering critical financial insights. Overall, this position is well-aligned with both Lensa's and NVIDIA's strategic goals, as it supports the finance organization in leveraging data analytics to drive efficiency and transparency in business operations.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to collaborate with multiple departments to solve a complex problem. What approach did you take?
Can you describe a scenario where you had to ensure data accuracy in your reporting? What methodologies did you use?
How have you previously translated complex financial data into visual formats for stakeholders? Can you share an example?
What’s your experience with Power BI/Tableau dashboards? Can you walk us through a specific project where you created a dashboard?
How do you approach data validation to ensure quality and reliability in your reports?
What steps would you take to build a report that showcases capital investment performance for stakeholders using SAP data?
Imagine you are tasked with improving the financial reporting process in a team that’s resistant to change. How would you handle this situation?
Suppose you find discrepancies in data from different systems (SAP, Workday, Coupa). What steps would you take to resolve these issues?
Why are you interested in working at NVIDIA specifically, and how do your skills align with our mission?
How do you keep yourself updated with the latest trends in financial analytics and reporting tools?
Given your experience, what unique perspectives would you bring to our finance team at NVIDIA?
What are some questions you have about our reporting processes or the tools currently in use?
How do you prioritize project tasks when working with cross-functional teams, especially when deadlines are tight?
What aspects of our company culture appeal to you the most and why?
Can you share an experience where you automated a project or reporting task? What was the outcome?

Job Details

Overview Company

Senior Data Analyst, Finance

$116k/y-$195.5k/y

Lensa

23 days ago

Highlight

OnsiteFull-time5+ yearsSenior

Summary

NVIDIA is seeking a Data Analyst, Finance to join their team in Santa Clara, CA. The role involves supporting the Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs.

About the Role

As a Data Analyst, Finance, you will build system and operational workflows for business leaders to understand the current state, highlight problems, and provide recommendations to resolve issues. You will transform complex financial and operational data into intuitive, accurate, and trusted analytical solutions, such as Power BI or Tableau reports. You will collaborate closely with Finance partners, IT, and data engineering teams to ensure data accuracy, reliability, and that reporting tools effectively support decision-making, performance tracking, and financial transparency.

About You

Required:

Bachelor’s degree in Finance, Business, Information Systems, or related field (or equivalent experience).
5+ years of experience in BI development or financial analytics with strong proficiency in Power BI and/or Tableau.
Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL, and data modeling.
Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams.
Strong attention to detail, communication skills, and commitment to data quality.

Preferred:

Experience with SAP data extraction tools (e.g., CDS Views, BEx, ODP) and modern cloud platforms (Databricks, Snowflake, Synapse).
Proficiency in financial important metrics (general ledger, cost centers, working capital) and experience with reporting automation or expediting financial close.
Exposure to semantic layer development, governed datasets, Python, or AI/ML tools.

Benefits

Highly competitive salaries with a base salary range of $116k–$195.5k.
Eligibility for equity and benefits.
Comprehensive benefits package available at www.nvidiabenefits.com/.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Santa Clara, CA