Data Analyst

Job description

Techmantu is a 10+ year-old digital media consultancy specializing in strategy, implementation, and operations in digital marketing and skilling.

The Shared Services team plays a critical role in supporting multiple practice areas, including Techmantu Marketing and Techmantu Skilling, by enabling seamless operational workflows and ensuring high-quality project delivery. 

We are looking for Data Analysts to contribute to our consulting engagements across both digital marketing and skilling domains, driving data-driven insights that enhance decision-making, performance optimization, and project success.

Key Skills:

Data Extraction, Data Cleansing, Data Manipulation, Data Design, Data Analysis, Data Measurement & Collection, Building Data Dashboards, Experiment Design, Marketing Campaign Analysis, Marketing Asset Analysis and Optimization, Web Analytics, Paid Media Analytics, Social Media Analytics, Customer Data Analytics, eCommerce Analytics, Competitor Analytics, Google Cloud Platform (BigQuery, Cloud Storage, Dataflow), SQL.

Job Description :

Techmantu Data Analysts are data champions within our Center of Excellence for Data and Technology – Techmantu Labs.

Techmantu Labs comprises specialists with a deep understanding of data and technology to support digital marketing and skilling operations.

Our Data Analysts operate as integral members of Techmantu’s project delivery teams, working across both marketing and skilling engagements to build, maintain, and optimize data assets that drive measurable outcomes.

To be effective, Techmantu Data Analysts should take on the following responsibilities:

Data Management Lifecycle:

● Extract, cleanse, and reorganize data from both primary and secondary sources for use in both marketing and skilling contexts.

● Build and maintain data pipelines to automate data ingestion, transformation, and loading into data warehouses.

● Design, configure, and manage data warehouses (preferably on Google BigQuery) to support reporting and analytics.

● Perform data quality assessments, identifying patterns, trends, and predictions to inform decision-making across the business.

● Prepare analysis reports and recommendations to be shared with internal and external stakeholders.

• Work extensively with Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow) to support data engineering, storage, and analysis needs.
• Optimize cloud-based data environments for performance, cost, and scalability.

Digital Tracking Mechanisms:

• Work with developers and project teams to implement and monitor tracking mechanisms across marketing assets and skilling platforms, ensuring data accuracy and ongoing performance tracking.

Dashboard Management (Marketing & Skilling):

• Build and manage performance dashboards for both marketing campaigns and skilling initiatives, ensuring accurate and timely data reporting.
• Regularly update dashboards and datasets, clean and preprocess data, and ensure actionable insights are derived from the analysis.

Web & Digital Asset Analytics:

• Analyze website performance using tools like Google Analytics and other measurement platforms.
• Provide insights to optimize user experiences and conversion rates.

Performance Analysis:

• Design and optimize measurement strategies for both marketing campaigns and skilling programs.
• Analyze the performance and ROI of campaigns, skilling initiatives, and other assets.

Campaign Experiment Design:

• Work with delivery teams to design campaign experiments that will produce statistically sound, actionable results.
• Help run experiments (test campaigns), analyze key metrics, and identify opportunities to improve campaign performance.
• Develop and present learnings from analyses, including actionable insights and recommendations.

Requirements:

Please send in an application if the following applies to you: 

• Have a postgraduate degree in Business Management, Computer Science, Engineering, Math, Economics, or equivalent background.
• Have outstanding academic achievement with at least a first class.
• Have 2–5 years of hands-on experience as a data analyst, working across data engineering, data analysis, reporting, and business intelligence, preferably in digital media, marketing, or martech environments.
• Experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow) is highly preferred.
• Experience in data warehousing, data pipeline development, and ETL/ELT processes.
• Strong exposure to analysis tools such as Microsoft Excel, Python, Google Sheets, SQL, SAS, SPSS, or MATLAB.
• Exposure to marketing measurement tools such as Google Analytics, WebTrends, or Adobe Analytics.
• Strong verbal, written communication, and data presentation skills.
• Detail-oriented, with strong analytical and problem-solving abilities.

Location:

Techmantu Data Analysts will need to work out of Techmantu’s offices in Koramangala, Bangalore – until they become eligible for our flexible, hybrid-remote working option.

Why Join Us?

Techmantu offers industry-standard pay packages.

Techmantu Data Analysts will be provided the necessary preparatory and on-the-job training on the skills & knowledge,  and Techmantu’s approach to be effective in their jobs.

Techmantu Data Analysts will be under the mentorship and guidance of a Senior Manager in Techmantu Shared Services.

Required Skill Profession

Mathematical Science Occupations