Modelling & Data Science Executive

Job Justification: This role is crucial for supporting our clients with advanced analytics and reporting capabilities. The Insights and Reporting Specialist will transform data into actionable insights, driving strategic decision-making and business growth. Utilizing tools like GCP/ SQL/ Snowflake, Python/R, Tableau/ Power BI/ Looker Studio, the specialist will ensure efficient data handling and visualization. Their expertise in Retail/ CPG/ Digital Media/ Pharma, along with strong communication skills, will enable them to address industry-specific challenges effectively. This position is associated with significant revenue and future opportunities, making it a strategic asset for our organization.

Job Description:

Responsibilities:

• Develop and maintain data tables (management, extraction, harmonizing etc.) using GCP/ SQL/ Snowflake etc. This involves designing, implementing, and writing optimized codes, maintaining complex SQL queries to extract, transform, and load (ETL) data from various tables/sources, and ensuring data integrity and accuracy throughout the data pipeline process.
• Create and manage data visualizations using Tableau/Power BI/ Looker Studio. This involves designing and developing interactive dashboards and reports, ensuring visualizations are user-friendly, insightful, and aligned with business requirements, and regularly updating and maintaining dashboards to reflect the latest data and insights.
• Generate insights and reports to support business decision-making. This includes analyzing data trends and patterns to provide actionable insights, preparing comprehensive reports that summarize key findings and recommendations, and presenting data-driven insights to stakeholders to inform strategic decisions.
• Handle ad-hoc data requests and provide timely solutions. This involves responding to urgent data requests from various departments, quickly gathering, analyzing, and delivering accurate data to meet immediate business needs, and ensuring ad-hoc solutions are scalable and reusable for future requests.
• Collaborate with stakeholders to understand and solve open-ended questions. This includes engaging with business users to identify their data needs and challenges, working closely with cross-functional teams to develop solutions for complex, open-ended problems, and translating business questions into analytical tasks to deliver meaningful results.
• Design and create wireframes and mockups for data visualization projects. This involves developing wireframes and mockups to plan and communicate visualization ideas, collaborating with stakeholders to refine and finalize visualization designs, and ensuring that wireframes and mockups align with user requirements and best practices.
• Communicate findings and insights effectively to both technical and non-technical audiences. This includes preparing clear and concise presentations to share insights with diverse audiences, tailoring communication styles to suit the technical proficiency of the audience, and using storytelling techniques to make data insights more engaging and understandable.
• Perform data manipulation and analysis using Python. This includes utilizing Python libraries such as Pandas, NumPy, and SciPy for data cleaning, transformation, and analysis, developing scripts and automation tools to streamline data processing tasks, and conducting statistical analysis to generate insights from large datasets.
• Implement basic machine learning models using Python. This involves developing and applying basic machine learning models to enhance data analysis, using libraries such as scikit-learn and TensorFlow for model development and evaluation, and interpreting and communicating the results of machine learning models to stakeholders.
• Automate data processes using Python. This includes creating automation scripts to streamline repetitive data tasks, implementing scheduling and monitoring of automated processes to ensure reliability, and continuously improving automation workflows to increase efficiency.

Requirements:

• 3 to 5 years of experience in data analysis, reporting, and visualization. This includes a proven track record of working on data projects and delivering impactful results and experience in a similar role within a fast-paced environment.
• Proficiency in GCP/ SQL/ Snowflake/ Python for data manipulation. This includes strong knowledge of GCP/SQL/Snowflake services and tools, advanced SQL skills for complex query writing and optimization, and expertise in Python for data analysis and automation.
• Strong experience with Tableau/ Power BI/ Looker Studio for data visualization. This includes demonstrated ability to create compelling and informative dashboards, and familiarity with best practices in data visualization and user experience design.
• Excellent communication skills, with the ability to articulate complex information clearly. This includes strong written and verbal communication skills, and the ability to explain technical concepts to non-technical stakeholders.
• Proven ability to solve open-ended questions and handle ad-hoc requests. This includes creative problem-solving skills and a proactive approach to challenges, and flexibility to adapt to changing priorities and urgent requests. Strong problem-solving skills and attention to detail. This includes a keen eye for detail and accuracy in data analysis and reporting, and the ability to identify and resolve data quality issues.
• Experience in creating wireframes and mockups. This includes proficiency in design tools and effectively translating ideas into visual representations.
• Ability to work independently and as part of a team. This includes being self-motivated and able to manage multiple tasks simultaneously and having a collaborative mindset and willingness to support team members.
• Basic machine learning skills. This includes an understanding of fundamental machine learning concepts and techniques and experience with libraries such as scikit-learn and TensorFlow etc

• Domain-specific knowledge in Retail/ CPG/ Digital Media/ Pharma etc. This includes an understanding of industry-specific challenges and data requirements, experience in analyzing and reporting data within these domains, and being well-versed with key performance indicators (KPIs) relevant to any of these domains. This also includes applying domain knowledge to generate relevant insights and solutions.

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent