Senior Data Analyst, Product Analytics
Mission LaneSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Media, Advertising, TechnologyIndustries
Requirements
- Bachelor’s degree in a quantitative field (e.g., Math, Computer Science, Economics, Statistics) or equivalent practical experience
- At least 2 years of professional experience in a relevant role
- Experience applying statistical methods to analyze large datasets using a programming language like Python or R
- Proficiency in SQL for data extraction and manipulation
- Experience building data visualizations and dashboards to tell compelling stories and present findings to stakeholders with varying levels of technical depth
- Strong communication and presentation skills with proven ability to distill complex analytical concepts into clear, concise insights for both technical and non-technical audiences
- Persistence and curiosity when working with new and sometimes complex datasets
Responsibilities
- Design and perform detailed analysis to identify significant trends, patterns, and opportunities. Go beyond what happened to explain why it happened
- Develop, maintain, and enhance interactive dashboards and reports using BI tools to provide self-service analytics for business users
- Write advanced SQL queries with complex joins, window functions, and CTEs to extract data from various sources. Perform data cleaning, transformation, and validation to ensure accuracy and consistency
- Partner with product, marketing, finance, and operations teams to understand their objectives, define key metrics (KPIs), and deliver relevant analytical solutions
- Clearly communicate analytical findings and strategic recommendations to both technical and non-technical audiences through presentations and written reports
- Identify and implement opportunities for automating reports and streamlining data processes to improve efficiency
Skills
SQL
Complex Joins
Window Functions
CTEs
Data Cleaning
Data Transformation
Data Validation
Dashboarding
Data Visualization
BI Tools
Samba TV
Audience measurement and analytics for smart TVs
About Samba TV
Samba TV provides audience measurement and insights for the television industry, focusing on the smart TV market. Their technology is integrated into 35 million TVs globally, allowing them to collect and analyze extensive viewership data. This data helps advertisers, broadcasters, and content creators understand viewer behavior and improve their advertising and content strategies. Samba TV's audience measurement system is significantly larger than traditional methods, offering more accurate data. The company operates on a business model where clients pay for access to their data and analytics, ensuring privacy compliance and giving viewers control over their data sharing. The goal of Samba TV is to enhance the television viewing experience through detailed insights and measurement services.
San Francisco, CaliforniaHeadquarters
2008Year Founded
$44.4MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Consumer SoftwareIndustries
201-500Employees
Benefits
Flexible Work Hours
Remote Work Options
Professional Development Budget
Mental Health Support
Company Equity
Employee Discounts
Risks
Increasing competition from Roku and Amazon challenges Samba TV's market share.
Privacy-focused regulations may increase compliance costs for Samba TV.
Shift towards ad-free streaming services could reduce demand for advertising insights.
Differentiation
Samba TV partners with 20 smart TV brands, embedding technology in 35 million TVs.
Proprietary multi-source panel is 100 times larger than traditional measurement systems.
Offers comprehensive audience measurement and actionable insights for advertisers and content creators.
Upsides
Growing demand for cross-platform measurement solutions boosts Samba TV's market potential.
Acquisition of Semasio enhances capabilities in privacy-compliant contextual targeting.
Partnerships with digital audio platforms expand audience insights across media channels.
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