Senior Product Data Analyst Jobs

Collaborate with the product management and UX Design teams to develop hypotheses and conduct testing to validate these hypotheses.

Familiarity with product management and UX research is a plus.

Remote and In Office opportunities available

Develop and manage data-driven analytics that monitors product performance and guide strategic decision-making.

Strong proficiency in SQL and experience with a programming language such as Python or R.

Detail-oriented with strong analytical, problem-solving, and communication skills.

Minimum 5 years experience in documentation control processes required.

Identify opportunities for global procedure improvements.

Serve as a consultant to all functional areas for documentation and operational procedures.

Provide globally coordinated and special project services as assigned.

Conceptualize, communicate, coordinate and document procedural systems.

Provide direction to others supporting Certified Print and Specials documentation and processes.

Accurate data entry skills, attention to detail and follow-up abilities

Bachelor’s degree in Product Development, Merchandising, Fashion Design, Manufacturing or equivalent combination of education and experience

Experience gathering requirements, functional solutioning, and documenting business processes

Analyze and articulate business requirements and translate them into functional requirements

3+ years of product development experience is required and/or apparel experience with a record of managing product from concept to completion

Previous experience with ERP and PLM software 

Applying this understanding and knowledge of data to help product and services teams

Previous experience in an analytical role creating impactful solutions

A strong background or education in a quantitative discipline

Great skills with Python, SQL or other programming languages

Evidence of strong mathematical and statistics knowledge

Strong experience with additional programming languages, such as Java, Scala, or C++

Work with the software team to manage the product backlog

Excellent knowledge of user-centered design principles

Experience working closely with software teams

Senior Data Product Manager – Pharma / Biotech

San Diego, CA – will consider remote for the right person

ROLE OVERVIEW – SENIOR DATA PRODUCT MANAGER

4-5 years' work experience in analytics or data science.

Experience converting business and product questions into data-focused analysis questions.

Experience with advanced SQL, querying from big-data repositories, not just relational databases.

Experience pulling data from very large, sometimes unstructured datasets and using statistics and aggregations to arrive at an answer.

Experience in scripting with SQL, extracting & summarizing from large sets of data, and design of ETL workflows.

Experience with code notebooks such as Jupyter .

3+ years of experience analyzing and interpreting data in a fast-paced, data-driven environment.

Experience with in Excel, Google Sheets, Looker, Tableau, or similar tools for data analysis and visualization.

Strong communication and collaboration skills to effectively work with technical and non-technical stakeholders to turn insights into actions.

Experience with DTC web app or mobile app.

Experience in digital health or telehealth.

Full remote position with occasional travel.

Experience working with and analyzing complex datasets including QA, querying, summarizing, visualizing and reporting findings.

Business Insights: Collaborate with cross-functional teams, including product managers and business strategists, to provide data-driven insights and support decision-making processes.

Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to effectively communicate key findings and trends to stakeholders.

Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion

Here’s What You’ll Do Day-to-day

Here’s What We're Looking For

Provide oversight and management of development activities and ensure consistent standards are being adhered to.

Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.

A minimum of bachelor’s degree in a technology-related field (e.g. Computer Science, Engineering, etc.) or commensurate hands-on experience is required.

Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.

Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines preferred.

Excellent written and oral communication skills

Agile product delivery experience, including requirements capturing, writing user stories, and using Jira technology (preferred)

Excellent verbal and written communication skills, technical awareness and leadership abilities

Bachelor's Degree or equivalent work experience

Contact Center operations support and optimization experience (preferred)

Outstanding interpersonal, technical, and organizational skills

Ability to work independently in a fast-paced environment and flexibility to manage multiple requests and tasks against tight timelines

Experience with marketplaces, e-commerce and SKU management

Work closely with design, engineering, project management, QA, and other internal teams to ensure timely delivery and high-quality execution.

Experience building & delivering API-based products and working knowledge of API (REST, SOAP, GraphQL),

5+ years of product experience or 8+ years of product & technical experience, or equivalent practical experience.

Experience in leading, launching, and scaling successful technical products or platforms; bonus if this is related to data or data-driven products.

Strong communication skills and ability to translate complex technical concepts into easily understood terms.

Act as a data-driven thought partner to our Product Managers and Product Leadership team

You have 6+ years of experience in product analytics, conducting quantitative analysis on large datasets, or an equivalent analytical role

You have exceptional verbal and written communication skills

You have experience developing and managing product taxonomies

Excellent Parental benefits including: 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support

Conduct deep dive analyses into our product metrics and focus areas to surface actionable insights

Work closely with Product Managers focused on specialized Datadog product areas.

Build and maintain dashboards and actionable visualizations to help Product Managers across Datadog make strategic, data-driven product decisions.

You have experience working with large product data sets and have either used or are interested in learning dbt and Python

Build and maintain data transformations and surface high-value data via Metabase, our Business Intelligence tool.

Run deep data analyses and investigations and participate in hypothesis-driven research into internal data.

Be an active part of the Product Analytics council and the Datadog-wide community of Data Analysts.

Strong consensus and relationship-building skills, with experience marshaling resources across different functions of an organization

Work in close collaboration with product, engineering, design, research and marketing partners to develop rich, intuitive, and valuable user experiences

Interview agents, sales managers, regional leads, and other stakeholders to identify, define, and prioritize the problems they face

Serve as the primary point of contact for escalations related to the cross-platform search experience

Strong technical and data background, either from academic, engineering, or hands-on product development experience

Prepare and present periodic progress updates to leadership and agents

Domain knowledge/expertise in the supply management industry a plus

Support and lead the Master Data Management continuous improvement process.

Create and manage an effective project schedule

Systemic knowledge/ expertise with SAP & JDE a plus

0 - 2 Years of Post-Bachelor work experience

Experience in a manufacturing environment or sourcing product is a plus

Must be able to effectively and professionally communicate to management, peers and customers as well as demonstrate sound judgment/reasoning skills.

2+ years of experience working with Federal Healthcare IT Projects. Other government contract project management experience will be considered.

Agile certifications such as Certified Product Owner, SAFe Product Owner Product Manager are a plus

Work with customer, users, and other contractors to gather, understand and document business, functional, technical & non-technical requirements.

Conduct Product Analysis sessions, work group calls and engage customers to provide requirements and feedback.

Knowledge of Healthcare, Medicare & Medicaid systems & data.

Minimum of 7+ years (5+ with advanced degree) experience working in an analytical role

Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses

Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting

Previous experience working with a collaboration product is a bonus

Size potential impact of new products or features to impact the Product roadmap.

Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.

Excellent SQL skills with experience using statistical programming languages (Python, R, etc.) to manipulate data and draw insights from large datasets

Direct experience with experimentation design and A/B test measurement highly desirable

Experience creating executive-level dashboards using visualization tools like Looker (highly desired), Tableau, or PowerBI

Develop dashboards and reporting that empower self-service, data-driven decision making

Work with our technology partners and data engineers to ensure high-quality, usable data are captured to support reliable business analytics

Build scalable methodology and tools to accelerate development of our data and analytics practice

Robust technical knowledge of data pipelines, data management and governance.

Required Qualifications, Capabilities And Skills

Preferred Qualifications, Capabilities And Skills

Document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements

Bachelor's degree and 4 years of experience in a data engineering focused role.

Experience across broad range of modern analytics tools (e.g., SQL, Python, Java)

(Open for Remote from EST, CST zone)

Duration: 12+ Months – Extension/ Possible

Pulling and writing Python Script

Advance Excel Analyst (V-Look up, Pivot Tables)