Senior Data Analyst

About the Role

Day-to-day, you will collaborate closely with cross-functional teams to identify areas for improvement and develop data-driven strategies to address them. Your role will also involve staying abreast of industry trends and emerging technologies in data analytics, ensuring that Mercor remains at the forefront of data-driven decision-making.

The Mercor team values collaboration, innovation, and a passion for data. As a Senior Data Analyst, you will be working in a dynamic environment that encourages creativity, transparency, and open communication. Your contributions will be recognized, and you will have the opportunity to grow professionally in a company that believes in nurturing talent.

What You Will Do

• Develop and maintain complex data models and architectures to support business intelligence and analytics tasks.
• Design and execute A/B tests to measure the impact of different product features and marketing strategies.
• Create and manage databases and data systems to ensure data quality, security, and compliance.
• Build and maintain dashboards and reports to provide insights to stakeholders across the organization.
• Collaborate with product and marketing teams to integrate data insights into product development and campaign planning.
• Conduct ad-hoc analysis to address specific business questions and provide actionable recommendations.
• Develop and document technical specifications for data analytics projects, including data requirements and delivery timelines.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of analytics outputs.
• Stay updated with new tools and methodologies in data analytics, applying this knowledge to continuously improve analytics capabilities.

What We Are Looking For

• A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics.
• At least 3 years of experience as a data/BI analyst in a data-mature company, with a proven track record of delivering complex analytics projects.
• Expertise in advanced SQL, including the ability to write efficient and complex queries.
• Experience with A/B testing and experimentation, including the design, execution, and analysis of tests.
• Strong knowledge of metric design and the ability to develop and track key performance indicators (KPIs).
• Proficiency in BI-tool development, including experience with tools like Looker, Tableau, Mode, Hex, or Metabase.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Ability to work in a fast-paced environment, prioritizing tasks and managing multiple projects simultaneously.

Nice to Have

• Experience working in a remote or distributed team environment.
• Knowledge of programming languages such as Python or R, and experience with data science tools and libraries.
• Familiarity with cloud-based data platforms and services, such as AWS or Google Cloud.
• Certification in data analytics or a related field, demonstrating a commitment to professional development.
• Experience with data visualization tools beyond BI platforms, such as D3.js or Power BI.

Benefits and Perks

• Competitive hourly rate as an independent contractor.
• Opportunities for professional growth and development within a dynamic and innovative company.
• Flexible working hours and the ability to work remotely, offering a better work-life balance.
• Access to a collaborative and supportive team environment, with regular check-ins and feedback.
• The chance to work on challenging and impactful projects that contribute to the company's success.
• Continuous learning and development opportunities, including training and conference sponsorships.
• A culture that values diversity, equity, and inclusion, and is committed to creating a welcoming environment for all employees.

• Develop a strong portfolio: Showcase your analytics projects, including any A/B testing or data modeling you've done, to demonstrate your capabilities to potential employers.
• Stay updated with industry tools: Familiarize yourself with the latest BI tools and technologies, such as Looker, Tableau, or Metabase, to stay competitive.
• Practice your storytelling skills: As a data analyst, being able to communicate complex insights effectively is crucial. Practice presenting your findings to both technical and non-technical audiences.
• Highlight your SQL skills: Given the emphasis on advanced SQL in this role, make sure your proficiency is evident in your resume, cover letter, and during interviews.
• Be prepared to talk about your process: Interviewers want to know not just what you can do, but how you do it. Be ready to walk them through your approach to analytics tasks and projects.
• Ask about the team and company culture: Understanding the dynamics of the team you'll be working with and the company's approach to remote work can help you determine if it's a good fit.
• Discuss your experience with data quality: Ensuring data accuracy and security is critical. Be prepared to talk about your strategies for maintaining high data quality in your work.