Specialist - Data Analytics at Freshworks

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehousing, SQL, Python, AWS, ETL, Data Security, Data Integrity, Data Architecture, Query Optimization, Automation, Business Intelligence, Reporting, Data Modeling, Cloud Services, Technical Project Management, Performance Tuning

Industry

Software Development

Description

Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Role Overview The Specialist - Data Analytics is a high-impact technical role focused on the core engineering and optimization of our data environment. You will serve as the subject matter expert (SME) for data warehousing, responsible for building the robust infrastructure that enables data-driven decision-making across the organization. This role requires a "Growth Mindset" to constantly improve legacy systems and a deep technical mastery of SQL, Python, and AWS. Key Responsibilities Data Warehouse Engineering: Design and implement scalable data warehouse solutions that serve as the foundation for enterprise analytics. Advanced Query Optimization: Develop and refine complex SQL scripts for data extraction and transformation, ensuring maximum performance and minimal latency. ETL & Automation: Build and maintain automated data pipelines using Python to streamline the movement and processing of large datasets. AWS Infrastructure Management: Effectively utilize AWS cloud services to optimize data storage, compute resources, and overall analytics performance. Cross-Functional Technical Partnership: Collaborate with teams to understand business requirements and translate them into efficient data models and technical workflows. Data Security & Integrity: Implement and monitor rigorous data security protocols and performance tuning to ensure the reliability of our data assets. Qualifications Professional Qualifications Experience: 5–7 years of intensive experience in Data Warehousing and Analytics, with a track record of delivering high-performance data solutions. Education: Degree in Computer Science, Information Technology, Data Science, or a related field. Cloud Expertise: Practical, hands-on experience deploying data solutions within the AWS ecosystem (Redshift, S3, Glue). Execution Focus: Proven ability to manage complex technical projects independently while maintaining alignment with global stakeholders. Technical Skill Inventory SQL Mastery: Expert-level proficiency in SQL, including advanced stored procedures, indexing strategies, and query performance tuning. Python for Data: Strong experience using Python for ETL automation, data cleaning, and processing. Data Architecture: In-depth knowledge of data modeling (Star/Snowflake schemas) and warehouse design principles. ITSM Awareness: Understanding of how data performance impacts end-user experience and business SLAs. BI & Reporting (Good to Have): Hands-on experience with Power BI or Tableau to visualize complex data trends. Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us. Compensation: INR0 - INR0 - yearly

Responsibilities

The Specialist - Data Analytics will design and implement scalable data warehouse solutions and develop complex SQL scripts for data extraction and transformation. This role also involves building automated data pipelines and collaborating with teams to translate business requirements into technical workflows.