Senior Specialist, Data Analytics

Brainlabs

54d

About The Position

As a Senior Specialist, Data Analytics at Brainlabs, you will independently deliver high-quality data analysis, reporting, and dashboards that drive client decision-making. You'll own end-to-end analytics projects, create compelling data narratives, and use advanced SQL, Python, or R to extract insights. This role is perfect for an analytically rigorous professional ready to take ownership of complex data challenges, using the outputs to drive more effective media programs.

Requirements

• Has 2-5 years of experience in data analytics, business intelligence, or a related field
• Demonstrates strong proficiency in SQL and at least one programming language (Python or R)
• Has hands-on experience with modern BI tools such as Looker, Tableau, or Power BI
• Possesses a solid foundation in statistics and data science methodologies, including regression analysis and ML fundamentals
• Can translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
• Excels at working independently while collaborating effectively across teams
• Is detail-oriented with excellent project management and documentation skills

Nice To Haves

• Has experience in digital marketing analytics, media measurement, or performance marketing (preferred)

Responsibilities

• Independently deliver exploratory and diagnostic analyses with clear acceptance criteria, applying peer-reviewed analytical methods
• Own dashboard and reporting development in Looker, Power BI, or Tableau, creating concise narratives and compelling visualizations that prompt business decisions
• Lead development and delivery of high-impact client-facing analysis deliverables that contribute to scaling media or elevate our status as a strategic partner
• Perform data validation, QA, cleaning, feature engineering, and transformations to ensure data accuracy and reliability
• Utilize advanced SQL, Python, or R techniques for complex data manipulation and analysis
• Apply machine learning and regression analysis techniques, evaluating results and comparing different models through hypothesis testing
• Assist in test design, tracking, and readouts for experimentation initiatives
• Maintain project management hygiene with clear documentation and runbooks
• Progress certifications (including AI-related learning) and share learnings with the team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees