Senior Product Analyst
Be Part of Building the Future
Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost. Learn more at www.dremio.com.
About the role
In this role, you will be working across the entirety of the analytics stack, building data pipelines which run into Dremio’s Internal Data Lake. This will involve extracting, transforming, and managing the quality of data before finally creating data products and/or dashboards.Your responsibility to identify opportunities to identify and capture more data in pursuit of a higher degree of observability across the Dremio portfolio and the behavior of our users. You will be expected to engage with everyone from C-Suite / VPs to Account Executives and Support Engineers to understand needs and drive pipeline integrations and data availability to meet these needs.
What you'll be doing
Initially working cross functionally with product, engineering, marketing and pre-sales leadership you will:
- Engage with stakeholders to understand, document and prioritize data driven decision making needs.
- Collaborate cross functionally to deploy necessary tracking / analytics tools to support product usage telemetry data needs.
- Create and maintain data pipelines adhering to semantic layer best practices for internal Data Lake.
- Build and maintain data pipelines to provide enriched telemetry data for anomaly detection use-cases.
- Configure, deploy and maintain integrations with popular tools such as GitHub and Slack.
- Develop and manage data pipelines to support internal analytics, data needs, and business requests.
- Establish, document, communicate dashboarding and reporting dimensions.
- Seek opportunities for innovation to further empower our decision makers, mature our Lakehouse and drive the business.
- Create Dashboards on product telemetry, user activity, pipeline health, documentation usage, etc.
- QA Dashboards and Reports against the raw data and partner with Data Lake owners to ensure accuracy.
What we're looking for
- Bachelors or Masters in Data Science, Computer Science, Math or equivalent
- At minimum 5 years of experience as an Analytics Engineer, Data Engineer, or similar role
- Expert in designing and implementing data pipelines using Python
- Highly skilled SQL expert with a clear understanding of window functions, cte’s, subqueries etc.
- Basic understanding/familiarity of Iceberg, or existing knowledge of a similar datalake table format with a strong desire to learn about Iceberg
- Experience creating reports and dashboards using Tableau or equivalent tool
- Experience working with AWS, GCP or Azure cloud based storage
- Experience working with tools like FiveTran, Stitch or equivalent.
- Experience with product analytics data solutions like Intercom, Heap and Google Analytics.
- Strong familiarity with dbt
- Experience with ticketing systems (JIRA), communication tools (Slack), repository systems (GitHub).
- Excellent project management skills with a proven track record of cross-functional impact.
- Interested and motivated to be part of a fast-moving startup with a fun and accomplished team
Return to Office Philosophy
Workplace Wednesdays - to break down silos, build relationships and improve cross-team communication. Lunch catering / meal credits provided in the office and local socials align to Workplace Wednesdays. In general, Dremio will remain a hybrid work environment. We will not be implementing a 100% (5 days a week) return to office policy for all roles.
#LI-JF1
What we value
At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.
Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.
Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.
Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice.
Important Security Notice for Candidates
At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here.
Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
Join the team at Dremio as a Senior Product Analyst and be a key player in building the future of analytics! Working remotely from Portugal, you’ll be part of the unified lakehouse platform that empowers hundreds of enterprises globally. At Dremio, we’re dedicated to delivering self-service analytics and AI solutions that our customers, including renowned companies like Amazon and Maersk, rely on. Your primary focus will be on developing data pipelines for our Internal Data Lake, which means you’ll be extracting, transforming, and managing data quality to create dynamic data products and insightful dashboards. Collaborating closely with stakeholders across various functions, from C-Suite to support engineers, you’ll ensure that our data-driven decision-making processes are informed and effective. You’ll have the chance to engage with exciting tools and technologies, driving innovations that empower our users and enhance our Lakehouse. If you’re passionate about analytics and ready to make a significant impact while working with a fun, dynamic team, Dremio is the place for you! We value clarity, accountability, and respect in our workplace, and offer a flexible hybrid environment. Join us in making data accessible and valuable for our clients while enjoying the benefits of a supportive and vibrant company culture!
Dremio revolutionizes analytics by offering a user-friendly and open data lakehouse that merges data warehouse capabilities with the flexibility of data lakes, enhancing self-service analytics and speeding up insights across all data sources.
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