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TripleLift

Data Analyst

Posted 2 Days Ago
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In-Office
Pune, Mahārāshtra
Junior
In-Office
Pune, Mahārāshtra
Junior
The Data Analyst role involves analyzing datasets, performing experiments, interpreting findings, and providing insights for data-driven decisions, collaborating with teams to enhance data infrastructure.
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About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.

As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com.

Role:

TripleLift, a fast-growing AdTech platform tackling some of the most challenging problems in the world of digital advertising, is seeking a skilled and enthusiastic Data Analyst to join our Data Science and Analytics team. The Data Analyst will play a key role in analyzing datasets, deriving insights, and contributing to data-driven decision-making across the organization. The ideal candidate will have a foundational background in statistical analysis, data manipulation, and data visualization techniques. They should possess good problem-solving skills, attention to detail, and the ability to communicate findings effectively to stakeholders.

Responsibilities:

  • Perform in-depth analysis of datasets to identify trends and patterns
  • Support the design and execution of experiments to test hypotheses
  • Interpret and communicate findings through reports, presentations, and data visualizations
  • Provide data-driven insights to support decision-making processes
  • Conduct ad-hoc analyses and provide analytical support to various departments as needed
  • Assist in the development and implementation of analytical models to extract meaningful insights from data
  • Collaborate with cross-functional teams to understand project objectives and data requirements
  • Contribute to the enhancement of data infrastructure, including data collection and storage
  • Stay up-to-date on emerging trends, tools, and technologies in data analysis and data science

Qualifications:

  • Bachelor's degree, or higher, in Statistics, Mathematics, Computer Science, Economics, or a related field
  • Minimum of 1-2 years of experience in data analysis, with a proven track record of contributing to insights and business impact
  • Proficiency in SQL for data extraction and manipulation
  • Experience with Python for statistical analysis
  • Strong analytical and quantitative skills, with a basic understanding of statistical methods and hypothesis testing
  • Experience working with datasets and using data visualization tools such as Looker, Power BI, or Matplotlib
  • Basic understanding of data warehousing concepts and experience working with relational databases (e.g., MySQL, PostgreSQL)
  • Familiarity with basic monitoring and measuring statistical modeling performance with ability to build basic dashboards using tools like Grafana, Looker, etc
  • Good communication skills, with the ability to convey technical concepts to non-technical stakeholders
  • Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and deadlines effectively
  • Strong attention to detail and a commitment to delivering quality work

Additional Preferred Skills:

  • Exposure to machine learning techniques and algorithms.
  • Prior AdTech experience.
  • Familiarity with big data technologies such as Spark or Kafka.
  • Experience with cloud platforms such as AWS, or other cloud platforms.

Technologies

From our early days, we’ve always believed in using the right tools for the right job and continue to explore new technology options as we grow. The Data Science and Analytics team uses the following technologies at TripleLift:

  • Languages: Python
  • Frameworks: Spark, DataBricks, ONNX, Docker, Airflow
  • Databases: MySQL, Snowflake, S3/Parquet
  • Amazon Web Services to keep everything running

Life at TripleLift

At TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.

Learn more about TripleLift and our culture by visiting our LinkedIn Life page.

Establishing People, Culture and Community Initiatives

At TripleLift, we are committed to building a culture where people feel connected, supported, and empowered to do their best work. We invest in our people and foster a workplace that encourages curiosity, celebrates shared values, and promotes meaningful connections across teams and communities. We want to ensure the best talent of every background, viewpoint, and experience has an opportunity to be hired, belong, and develop at TripleLift. Through our People, Culture, and Community initiatives, we aim to create an environment where everyone can thrive and feel a true sense of belonging.

Privacy Policy

Please see our Privacy Policies on our TripleLift and 1plusX websites.

TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.

Top Skills

Airflow
AWS
Databricks
Docker
MySQL
Onnx
Parquet
Python
S3
Snowflake
Spark
SQL

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