Business Analyst

About us :

Pixis is a global AI technology company transforming how brands plan, create, and optimize marketing. Our flagship marketing operating system, Prism, sits at the core of the Pixis platform, using AI to turn fragmented performance data into clear, actionable insights and directly into execution.

With native integrations across major ad platforms, built-in creative intelligence, and a secure, enterprise-ready infrastructure, Pixis helps marketing, creative, and strategy teams move from idea to action in minutes instead of weeks. The company’s mission is to eliminate manual workflows and replace them with intelligent, role-aware systems that scale strategy, creative, and performance without increasing team size.

Today, Pixis has a talented and diverse team of 300+ people across 14+ geographies , all focused on building transformative AI products to help customers maximize their marketing and demand generation efforts.

Learn more : pixis.ai

Why Pixis?

We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together.

Key Responsibilities

Data Pipeline Development : Build, maintain, and optimize data pipelines that effectively clean, transform, and aggregate raw data from disparate sources (ETL processes).

Reporting and Automation : Design and automate recurring and ad-hoc reports within spreadsheet platforms (Google Sheets and Excel).

Scripting for Efficiency : Write and manage scripts, specifically utilizing Google App Script or similar tools, to automate data tasks and streamline reporting workflows.

Business Problem Solving : Use data infrastructure and analytical techniques to solve complex business problems, answer critical questions, and drive process improvements.

Documentation and Governance : Develop and maintain Standard Operating Procedures (SOPs) and comprehensive documentation for all reporting and data engineering processes.

Ad-Hoc Support : Be willing to tackle complicated Ad-hoc reporting tasks as needed by the business.

Must-Have Qualifications & Skills

2-4+ years in data analytics / BI / business intelligence / data engineering roles

Hands-on experience with BI / visualization tools (Looker, Tableau, Power BI, Mode, etc.)

Proven knowledge and experience with SQL and DBMS to efficiently query and handle large datasets.

Proficiency with spreadsheet tools including Google Sheets and Excel, as well as scripting for automation (Google App Script is highly desirable)

Experience in building or maintaining ETL processes.

Experience building dashboards from scratch, with large and messy data sources

Good sense for business metrics, metrics design, causation vs correlation

Strong communication skills : explaining insights to non-technical stakeholders

Comfort working across functions (finance, operations, product, marketing)

Preferred / Plus

Experience in product / SaaS / tech

Experience with Python / R / data modeling / advanced analytics

Experience with Marketing Mix Modelling

Familiarity with the AWS ecosystem is a plus for data engineering-related tasks.