Senior Data Analyst

**Role Summary**

We are looking for a Data Analyst Engineer who sits at the intersection of business and data. You will have the opportunity to work with a wide range of business departments (Operations, Sales, Human Resources,

Marketing, Accounting, Finance) and transform their business logic into structured DataMart layers – then help users automate their daily reporting tasks before moving into advanced analytics.

The data platform is ready and the raw data is waiting – your job is to turn it into something people can actually use.

**Key Responsibilities**

• Gather business requirements from cross-functional departments (Operations, Sales, Human

Resources, Marketing, Accounting, Finance) and translate them into technical specifications and

datamart designs.

• Design datamart schema and transformation logic using SQL and Python. You will be trained on

Git/Airflow to independently set up datamarts (raw → bronze → silver → gold). Pipeline monitoring and

performance optimization are handled by the DE team.

• Build reports and dashboards in Superset and Power BI. Provide REST APIs for internal applications.
• Follow the team’s data governance standards and document metric definitions and mart layers

accordingly.

• Perform ad-hoc analysis for business stakeholders as needed.

Tech stack: ClickHouse, Superset, Power BI (experience with other stacks is welcomed)

**Requirements**

• 3+ years of experience as a data analyst.
• SQL and Python for data processing and transformation
• Willing to learn and use Git and Airflow for DataMart setup.
• Proficient in at least one BI tool (primarily Superset/Power BI, but experience with Qlik/Tableau/Looker

is welcomed).

• Foundation-first mindset – comfortable building and stabilizing data before analyzing it, with a focus on

supporting operational teams first.

• Strong stakeholder communication skills.
• Ownership of DataMart logic and commitment to supporting business users