Product Data Analyst Sr Associate Jobs

Exhibits strong visual and verbal presentation capabilities utilizing extensive knowledge in PowerPoint and Adobe Suite applications

5 Years Experience in product design, interior design, trend, and/or product development

5 Years Experience analyzing product trends to assist leadership in developing insights that drive strategy and new product development

4 Years Experience influencing cross-functionally without formal authority

2 Years Experience in a large retail environment or home furnishings manufacturing industry

Works collaboratively and effectively in a fast-paced retail environment to drive and influence in-store and online assortment updates

Minimum of 3 years of experience in product management building an Enterprise product.

A detailed-oriented individual comfortable with Project Management.

Work closely with the technical team to prioritize and manage product development.

Proven experience launching a successful and much loved product.

Strong logical thinking skills and creativity in problem-solving.

Deeply understand the problems and needs of our customers through research and interaction.

Should have proven experience in database design, data-modelling, SQL server etc.

Has prior experience in building statistical models.

Identifying requirements, designing, coding, testing, and deploying packages.

What are the top three technology tools this resource must have knowledge using?

What are some job responsibilities specific to your team for this role?

identifying requirements, designing, coding, testing, and deploying packages.

Minimum 3 years of product management experience

Experience working and establishing credibility with leaders spanning Engineering, Operations, and Data.

Strong communication skills, both written and verbal; your words and ideas resonate with a diverse set of audiences.

Experience working with engineering teams to deliver products; you can interpret a high-level architecture diagram.

Experience working with 3rd party software solutions

Experience building products that utilize AI

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 supporting Product Managers or embedded within a Product team.

Demonstrated knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference models.

Technical competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools (e.g., Tableau, Power BI) are table stakes

Degree in quantitative field and 5+ years of experience using data to facilitate product decisions.

(Preferred) – Prior experience in the payments industry or payment ecosystem (e.g., payments processing, acquiring, or technology).

(Preferred) – Practical experience working with cloud-based data warehouses (e.g., Snowflake, Google BigQuery, Azure Synapse).

Clinical and product management experience that is customer focused (RN preferred)

Translate customer needs into functional requirements that drives action and provides sound direction to engineering, product owners and stakeholders

Develop and manage strong, collaborative relationships with associated product team and other stakeholders, as needed, to help drive results

Collaborate without cross-functional partners in operations, engineering, analytics, customer success, product and legal.

Collaborate with other VCS product owners on user stories and ensure cross team communication, outlining key dependencies and surfacing any risks.

Identify and evaluate activities that prioritize process improvements or gaps

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

1 Year Experience working on Agile project management teams

Identifies and presents actionable insights to resolve workforce planning and management challenges

Bachelor’s Degree in Operations Engineering, Data Science, Management, Engineering, Business Analysis, or a related field

Masters Degree in Operations Engineering, Data Science, Management, Engineering, Business Analysis, or a related field

Partners closely with HR and Finance to determine employee fill rates, hiring projections, staff planning, and financial planning

2 Years Experience in an analytical role

Provide ongoing analytics consulting, knowledge sharing, and coaching to internal audit team members and junior data analysts

Programing skills in SQL, and/or Python

Advanced Power BI skills (Visualization development, Dataflow, DAX, etc.)

Familiar with statistical knowledge (Outlier detection with Standard Deviation, Linear Regression, Clustering Analysis, etc.)

Knowledge of Power Platform – Microsoft Power Automate, Microsoft Power Apps, and Microsoft Forms

Knowledge of Azure Data Factory, Azure Databricks, Azure SQL Server, and/or Azure Blob Storage

Prior experience with Google Tag Manager

Understand the client’s business, marketing initiatives, and customer experience goals in order to develop analytics methodologies for answering key business questions

Strong storytelling and communication skills – see and share the story behind the data

Bachelor’s degree, MBA or Master’s degree in quantitative studies (or equivalent work experience)

Full knowledge of Microsoft Excel and/or Google Sheets and its applications is a must

Minimum 3 years’ experience working with Google Analytics; experience with other web analytics tools is a plus

At least one (1) year of experience in public health, data management, clinical research, statistical analysis, research is required.

Must have excellent project management, time management, communication, interpersonal, decision making, analytic, and reporting skills.

Python experience highly preferred; knowledge of, or willingness to learn, Python is required.

Experience transforming data with computer programming languages, such as Python, R, SAS , or SQL required.

Experience in a hospital, healthcare, or health policy setting is a big plus.

Experience using STATA is another big plus.

4-6+ years' experience in product/project/program management or metadata creation/aggregation/transformation

Liaise with development staff to ensure that requirements are met

Assure that development outputs meet requirements

Create high-level user requirements, detailed functional specifications, and release plans for relevant product

Serve as mentor and support as needed for less-experienced Product Analysts

Well-developed communication and presentation skills

5+ years of experience in product management.

Strong analytical skills and experience using data to inform product decisions

Excellent communication and collaboration skills to work effectively with cross-functional teams

Robust knowledge of AI & ML methodologies and trends preferred

Comprehensive benefits (Medical, Dental, Vision, HSA, FSA)

Steer the application of AI to make our specialists’ interactions with users to a higher quality level with greater efficiency.

Experience building and automating management-level reporting

Make recommendations on how to improve user experience and business performance

2-5 years of experience in a data analysis role

Advanced experience with Google Analytics or GA 360 (or equivalent analytics platform)

Experience in a data visualization tool (ex: Domo, Tableau)

Experience in advanced analytic and statistical techniques, A/B testing, customer segmentation, marketing effectiveness, and revenue/opportunity attribution

1+ years of Product or Solution Marketing, or Integrated Marketing experience

Ability to grasp and translate technical capabilities into business value for an executive audience.

Superior written, verbal, and presentation skills along with attention to detail and an eye for quality.

MBA or equivalent work experience preferred.

Develop buyer-centric sales enablement and provide HCM deal support

Amplify cross-portfolio CHRO messaging for global events and programs

Advanced knowledge and experience in online transactional (OLTP) processing and analytical processing (OLAP) databases, data lakes, and schemas.

2+ years of experience in full lifecycle implementation and support of Data Lake/ BI solutions

Hands on experience building regression, classification, Deep learning models and taking it to production with good accuracy rates.

Experience in building unsupervised continuous learning models and working with data engineers to optimize and operationalize.

Self-sufficient in handling large volumes of data with excellent SQL skills

Familiarity or experience with Apache Pinot is a plus.