is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance‑based growth through authentic relationships. Its award‑winning products – Performance (affiliate), Creator (influencer), and Advocate (customer referral) – unify every type of partner into one integrated platform. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on to power more than 225,000 partnerships that deliver measurable business results. Your Role at Impact:
The Associate Data Analyst is responsible for collecting, analyzing and interpreting large and complex datasets to identify patterns and trends, surfacing facts and assisting in developing insights and providing data‑driven outputs and recommendations to support business decisions. The ideal candidate has a keen interest in and some prior experience of data analysis, reporting and forecasting. The analyst must be a clear communicator who can confidently interact with technical and non‑technical stakeholders.
What You'll Do: Extract and analyze data from various sources including relational databases (My SQL, Postgres), big‑data technologies (Big Query, Kudu, Impala, Single Store, Hive), file sources (Parquet, ORC, Avro, CSV, XLSX) and reporting systems (Looker, DOMO). Assist with the identification, creation and maintenance of master datasets. Clean and manipulate data to ensure high quality and integrity of reporting outputs. Contribute to technical specifications for new data assets (marts, tables, views, cubes). Analyze source systems and help identify business logic embedded in the underlying datasets. Use statistical techniques to identify trends and derive patterns and insights embedded in the data. Identify and communicate data quality and data validation issues in production‑level datasets. Create visualizations and dashboards as directed by the squad lead and required by business stakeholders. Build and maintain dashboards and reports to support business stakeholders. Perform ad‑hoc data analysis to determine suitability of a data source for use in data marts and reporting outputs or to assess key performance indicators (KPIs). Communicate findings and recommendations to both technical and non‑technical team members in a clear and concise manner. What You Have:Preferred Requirements: Education: Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field. Experience: 2+ years in a data analysis, business intelligence, or data engineering role. Core Technical Skills: Strong Python and SQL coding skills. Demonstrable data analysis and data visualization skills. Hands‑on exposure to data wrangling (data cleaning, manipulation, and preparation). Tools & Platforms: Exposure to the Google Cloud Platform (GCP) and its integrated technologies. Familiarity with data visualization tools such as Tableau, Power BI, Looker, SSRS/SSAS, or Qlik View. Professional & Soft Skills: Strong analytical and problem‑solving skills. Excellent verbal and written communication skills. Ability to work independently and collaboratively in a fast‑paced, dynamic environment.
Nice to Have Requirements: Advanced Data Stack: Deep exposure to Databricks, Py Spark, and Big Query. Data Systems: Exposure to No SQL data systems and streaming platforms (HBase, Redis, Kafka). Data Science: Exposure to machine learning libraries, tools, and protocols (both supervised and unsupervised learning). Statistical Depth: Exposure to standard statistical modeling and forecasting methodologies. Domain Expertise: Prior experience within the Marketing Technology (Mar Tech) industry. Benefits and Perks: Flexible Working: Responsible PTO policy allowing you to take the time off you need. Health and Wellness: Up to 12 fully covered therapy/coaching sessions per year, additional dependent coverage, and a monthly gym reimbursement policy. Stake in Our Growth: Restricted Stock Units (RSUs) with a 3‑year vesting schedule, pending board approval. Investing in Your Growth: Free Coursera subscription and PXA courses. Parental Support: Generous parental leave policy – 26 weeks of fully paid leave for the primary caregiver and 13 weeks for the secondary caregiver. Technology Financial Support: Technology stipend to set up home office and a monthly allowance to cover internet expenses.
is proud to be an equal‑opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non‑merit factors. #J-18808-Ljbffr
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