Sr Business Intelligence Analyst-Analytics Engineering at The Trade Desk | AdTechTalent
Data Science3 days agoOn-site
The Trade Desk
Sr Business Intelligence Analyst-Analytics Engineering
business intelligenceanalytics engineeringdata sciencepredictive modelingSQLPythonRPower BITableaudbtdata modelingadvanced analyticssales analyticsdata visualization
Key details
Salary
$103K – $189K
Employment type
Full-time
Seniority
Senior
Years experience
10+
Location
New York, US
Full job description
The Senior Business Intelligence Analyst at The Trade Desk is a senior role focused on analytics engineering and advanced data analysis to support strategic decision making across multiple business teams. Responsibilities include surfacing insights from multiple data sources, building semantic layers with tools like dbt and Power BI, analyzing KPIs, identifying business opportunities and risks, and collaborating cross-functionally. The role requires 8-12 years of advanced analytics experience, 3+ years supporting sales analytics, proficiency in SQL, R, Python, Excel, and BI tools such as Tableau and Power BI. The candidate must have strong critical thinking, communication skills, and the ability to work independently and collaboratively. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, paid time off, holidays, and stock purchase plans. The salary range is $103,200 to $189,200 USD. Location is New York, NY.
What you'll do
Surface insights from multiple data sources to support complex operational decision making
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Develop scalable solutions delivering critical data-driven insights and decision metrics
Participate in cross-functional teams including Marketing, Sales, Operations, Product, Technology, People Analytics, and Finance
Develop strong collaborative relationships with BI leadership and key stakeholders
Provide transformational thought leadership in analytics including advanced data modeling and predictive modeling
Perform other duties as assigned
Requirements
Master’s degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) or equivalent experience
5+ years professional experience in Analytics Engineering, Data Engineering, or Business Intelligence roles
8-12 years analytical experience in advanced analysis and predictive analytics
3+ years of experience supporting Sales with actionable insights
Proficiency in one or more programming languages such as SQL, R, Python
Expert level experience with Microsoft Excel
Experience with BI and analysis tools like Tableau and Power BI
Curiosity to understand the 'why' in data
Excellent critical thinking skills and ability to present complex data-driven insights to all levels including senior and executive leadership
Ability to understand complicated problems and provide concise, relevant answers
Ability to convey technical topics to non-technical audiences
Ability to work independently in a rapidly growing environment with multiple competing priorities
Ability to build consensus across cross-functional and geographic teams
Ability to quickly learn complex business topics
'Can-do' attitude motivated by significant measurable business impact
Ability to work well with all levels of internal management and staff
Tech stack
SQLRPythonMicrosoft ExcelTableauPower BIdbt
Benefits
Comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependentsRetirement benefits including 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsTuition reimbursement for certain expensesParental leaveSick time of 1 hour per 30 hours workedVacation time up to 120 hours in the first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseVariable compensation-based incentives and commissions depending on role
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