Technical project manager Data analytics

Job Title:

Location:

Experience

(At least 4+ years in Data / Analytics projects)

Role Overview:

We are looking for a Technical Project Manager – Data Analytics who can own analytics projects end-to-end — from client requirement understanding and solution design to technical execution and delivery.

Key Responsibilities:

Client Interaction & Requirement Understanding

Participate in and lead client calls, requirement discussions, and review meetings.

Understand client business use cases and convert them into clear analytics and technical requirements.

Prepare and maintain requirement documents, dashboards specs, and acceptance criteria.

Act as the primary point of contact for analytics delivery with the client.

Solution Design & Technical Ownership

Design analytics solutions including:

Data ingestion and transformation approach

KPI and metric definitions

Data modeling strategy (STAR / Snowflake)

BI and reporting layer

Provide technical direction to Data Analysts and Engineers.

Review SQL queries, transformations, and dashboard logic to ensure correctness and performance.

Support architectural decisions while balancing cost, scale, and timelines.

Project Execution & Delivery

Own the complete delivery lifecycle:

requirement → design → development → testing → deployment.

Break requirements into clear tasks and manage execution using tools like Jira.

Track progress, dependencies, and risks; escalate proactively when needed.

Ensure deliveries meet agreed timelines and quality expectations.

ETL, Data Modeling & Quality

Guide teams on Full Load and Incremental Load ETL strategies.

Ensure data quality checks and validation processes are in place.

Oversee schema evolution, data refresh logic, and handling of data issues.

Ensure delivered data is reliable, consistent, and analytics-ready.

Must-Have Skills & Experience

Analytics & BI

Strong experience in data analytics and BI project delivery.

Hands-on experience with at least two BI / visualization tools, such as:

Power BI

AWS QuickSight

Tableau

Google Looker Studio

Experience defining business KPIs, metrics, and dashboard layouts.

Ability to explain analytics insights to non-technical stakeholders.

Data Platforms & Processing

Experience working with one or more modern data platforms, such as:

Microsoft Fabric

Databricks

AWS Athena

AWS Glue

GCP Data Pipeline

Understanding of how data flows from source systems to analytics and dashboards.

Technical Foundation

Strong SQL skills (joins, aggregations, CTEs, window functions).

Working knowledge of Python for data processing (pandas, notebooks).

Good understanding of data warehouse modeling concepts.

Delivery & Communication

Experience managing client-facing analytics projects.

Strong communication skills (spoken and written English).

Ability to handle multiple stakeholders and competing priorities.

Good-to-Have

Basic understanding of data security concepts (API keys, access control).

Experience working with US / Europe clients.