Data & Business Intelligence Associate

Data & Business Intelligence Associate


San Francisco, CA



Title: Data and Business Intelligence Associate
Location: Remote
Duration: 12-months

Our client is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Their vision is to create economic opportunity for every member of the global workforce. Every day their members use their products to make connections, discover opportunities, build skills, and gain insights. They believe amazing things happen when they work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires our client to invest in their talent and support career growth. Join them to challenge yourself with work that matters.

Our client trust each other to do their best work where it works best for us and their teams, and this role can be performed remotely in most locations in the country of employment.
Our client’s data teams leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1B members around the world, a focus on great user experience, and a mix of B2B and B2C programs, our client offers countless ways for an ambitious data developer to have an impact and transform their careers.
Our client is looking for a Business and Data Intelligence Associate to join their team. In this role, you will work with cross-functional partners and develop data foundations, data pipelines, data visualization assets, and analysis to enable data-driven decision-making for the Customer Success organization.  This is a 12-month contract role with a potential 6-month extension.
Primary Responsibilities:
Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.

  • Foundations and Pipeline Development: Write scalable and efficient SQL to encode business logic, and develop robust pipelines on the LinkedIn data stack.
  • Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
  • Project Management: Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
  • Cross-Functional Collaboration: Work closely with cross-functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
  • Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.

Secondary Responsibilities

  • Advanced Data Analysis: Conduct complex analyses on large datasets to uncover trends, correlations, and patterns that drive customer success strategies. Translate data findings into actionable insights for non-technical stakeholders, utilizing statistical analysis and predictive modeling to inform decision-making.
  • GenAI Development: Leverage Generative AI to develop data tools that address stakeholder and team opportunities and pain points. 

Basic Qualifications:

  • Bachelor's Degree in a quantitative discipline
  • Business analytics experience in a medium-to-large company
  • 4+ years of relevant industry or relevant academia experience working with large amounts of data
  • Experience with SQL/Relational databases
  • 2+ years experience in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)
  • Experience in data visualization and dashboard design
  • Demonstrated ability to navigate complex data environments and provide guidance to business leaders
  • Self-starter, able to work independently but ask for guidance when needed
  • Speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences.
  • Nimble and comfortable with ambiguity; a track record of responding quickly to rapidly evolving opportunities.

Preferred Qualifications:

  • MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering,
  • Statistical modeling project experience with regression models, tree models
  • Data pipeline development experience
  • Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
  • Experience on a / adjacent to a Business Intelligence team

Suggested Skills:

  • Data Analytics
  • Collaboration
  • Communication
The hourly pay range for this position is $50-57.50/hr (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.
*Note: Disclosure as required by the Equal Pay for Equal Work Act (CO), NYC Pay Transparency Law, and sb5761 (WA).

About Synergis

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at is an Equal Opportunity/Affirmative Action employer.


Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

For immediate consideration, please forward your resume to Danielle Reeves at If you require assistance or an accommodation in the application or employment process, please contact us at

To apply for this job please visit

About Synergis

Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals.

Synergis is an Equal Opportunity/Affirmative Action employer.

Learn more