Senior Analyst
Senior Analyst
Posted on :
18-04-2025
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1 Vacancy
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Job Description
This role is crucial for supporting our clients with advanced analytics basic data science and reporting capabilities. The Insights and Reporting Specialist will transform data into actionable insights driving strategic decisionmaking and business growth. Utilizing tools like GCP/ SQL/ Snowflake Python 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 industryspecific 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 andwriting 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 userfriendly 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 decisionmaking. This includes analyzing data trends and patterns to provide actionable insights preparing comprehensive reports that summarize key findings and recommendations and presenting datadriven insights to stakeholders to inform strategic decisions.
- Handle adhoc 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 adhoc solutions are scalable and reusable for future requests.
- Collaborate with stakeholders to understand and solve openended questions. This includes engaging with business users to identify their data needs and challenges working closely with crossfunctional teams to develop solutions for complex openended 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 nontechnical 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 scikitlearn 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 fastpaced 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 nontechnical stakeholders.
- Proven ability to solve openended questions and handle adhoc requests. This includes creative problemsolving skills and a proactive approach to challenges and flexibility to adapt to changing priorities and urgent requests. Strong problemsolving 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 selfmotivated 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 scikitlearn and TensorFlow etc
- Domainspecific knowledge in Retail/ CPG/ Digital Media/ Pharma etc. This includes an understanding of industryspecific challenges and data requirements experience in analyzing and reporting data within these domains and being wellversed with key performance indicators (KPIs) relevant toany of these domains. This also includes applying domain knowledge to generate relevant insights and solutions.
Location:
BengaluruBrand:
MerkleTime Type:
Full timeContract Type:
PermanentRequired Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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