Data Analytics Specialist
Hyderabad
Engineering – Engineering /
Permanent - Regular Part-time /
On-site
We are seeking a skilled Data Analytics Specialist to join our dynamic team. The ideal candidate will excel in processing, modelling, and analyzing complex data sets to derive actionable insights that drive strategic business decisions. This role requires a blend of technical expertise, analytical skills, and the ability to collaborate with various departments, including delivery, operations, sales, and marketing, to provide a competitive advantage through data-driven insights.
Job Responsibilities
- Data Analysis:
- Lead data analysis projects using advanced techniques to discover insights that inform strategic decisions.
- Develop and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics to support key business decisions.
- Technical Process Development:
- Design and build technical processes to address business issues and optimize operations.
- Collaboration:
- Work closely with cross-functional teams to understand their data needs and provide analytical support.
- Communicate results and business impacts of data insights to stakeholders within and outside the company.
- Reporting:
- Generate and present regular and ad-hoc reports, summarizing key findings and recommendations.
- Project Management:
- Organize and drive successful completion of data insight initiatives through effective management and collaboration.
Key Competencies Required for the Role
- Experience:
- At least 5 years of experience in a data analysis role, monitoring, managing, and drawing insights from data.
- Proficiency with Excel, Word, and PowerPoint.
- Technical Skills:
- Proficiency in SQL, Python, R, or other programming languages used for data analysis.
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Understanding of modern data platforms like Snowflake, Databricks, GBQ, etc.
- Familiarity with business platforms like Salesforce, Workday, etc.
- Analytical Skills:
- Strong problem-solving, quantitative, and analytical abilities.
- Knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
- Experience with predictive analytics, data mining, and mapping.
- Communication:
- Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.
- Attention to Detail:
- High level of accuracy and attention to detail in work outputs.
- Project Management:
- Ability to plan and manage multiple processes, projects, and teams simultaneously.
- Strong collaboration and delegation skills.
