Senior Business Insights Analyst
Bengaluru, Karnataka, India
DAT
Find loads and trucks fast with full access to the trusted DAT Network. Freight matching designed for shippers, brokers and carriers.About DAT
DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, with additional offices in Missouri, Oregon, and Bangalore, India. For additional information, see www.DAT.com/company.
The Opportunity
Please note that this role must overlap with Pacific Time hours (IST +12:30) due to the highly collaborative nature of the job. Typical hours are 3:00 pm - 12:00 am IST.
About the Role:
DAT is seeking a highly skilled and collaborative Senior Business Insights Analyst to serve as a dedicated analytical partner to our business Segment Leads. In this pivotal role, you will be the central point of contact for our Carrier, Broker, and Shipper segments, transforming complex data into the actionable insights that drive their strategic and tactical initiatives.
This is more than a typical analyst role. You will act as an analytical hub, deeply embedding yourself with the Segment Leads to understand their unique challenges and opportunities. You will conduct hands-on, sophisticated analysis while also orchestrating insights from specialized teams across Finance, Marketing, and Product. Your mission is to provide each Segment Lead with a comprehensive, cohesive data narrative to guide their decision-making and accelerate their growth.
What You'll Do:
- Strategic Partnership: Serve as the primary analytical partner and a single point of contact for DAT’s Segment Leads (Carriers, Brokers, Shippers), translating their business needs into impactful analytical projects.
- Insight Orchestration: Coordinate and synthesize analyses from domain-specific analysts (e.g., Finance, Marketing, Product) to provide Segment Leads with a holistic view of business performance. Outsource and delegate analytical tasks to specialized teams where appropriate.
- Deep-Dive Analysis: Lead complex, end-to-end analyses to answer critical business questions. For example, evaluate how a change in acquisition tactics for a segment drove new signups, active product use, and 30-day survivability to estimate the value and ROI of a new approach.
- Data Storytelling & Visualization: Develop and maintain insightful, automated dashboards and reports in Tableau and Business Objects, presenting clear and compelling data stories that resonate with executive and operational audiences.
- Performance Measurement: Define, monitor, and analyze the key performance indicators (KPIs) that matter most to each business segment, providing proactive insights on trends and performance drivers.
- Ad-Hoc Projects: When capacity allows, contribute your analytical expertise to high-priority projects within the broader Business Insights team.
What You'll Bring:
- A bachelor's degree in Business, Economics, Statistics, Computer Science, or a related quantitative field.
- 5+ years of experience in business intelligence, data analytics, or a similar strategic role.
- Technical Skills:
- Advanced proficiency in SQL for complex data extraction and manipulation within a Snowflake data warehouse environment.
- Extensive experience creating compelling visualizations and dashboards using Tableau. Experience with Business Objects is a plus.
- Familiarity with statistical programming languages (e.g., R, Python) is a plus.
- Hands-on experience with dbt (Data Build Tool) is a plus.
- Analytical & Soft Skills:
- Exceptional cross-functional collaboration and project management skills, with a proven ability to coordinate work between multiple teams.
- Strong business acumen and the ability to translate ambiguous business questions into structured analytical plans.
- Excellent communication and presentation skills, with the ability to act as a trusted advisor to senior stakeholders.
- A natural curiosity and a passion for using data to drive tangible business impact.
DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank. We provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data Analytics Data warehouse dbt Economics Finance KPIs Python R Snowflake SQL Statistics Tableau
Perks/benefits: Startup environment
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