Job Description

Position- Sr. Data Analyst

Experience 3- 5 Years

Location - Ahmedabad

Notice Period - Immediate joiner or max 15 days

#Note - Only Ahmedabad candidate can apply for this role (Local Candidate)

Qualifications

Bachelor’s degree in computer science/ statistics/ information systems/ Relevant field

Skills Required:

· 3+ years of experience in analytics, 1.5+ years as a product analyst, in Mobile Applications start-up preferred

· Expert in MYSQL, MongoDB query language and a data visualization dashboard tool

· Exposure to Python or R for more advanced statistical analysis

· Experience with data warehousing concepts and ETL development and tools.

· Experience evaluating A|B tests and other experimentation methodologies, exposure to Google Analytics, Firebase and other user behaviour tracking tool preferred

· Experience with Tableau/Power BI.

Responsibilities

-Based on data-driven analysis, formulating risk solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure related to proposed solutions

-Work closely with product teams on development of new products to identify potential gaps that might create loss, and define requirements to mitigate those risks.

-Have a good understanding of general business trends and directions to be able to put own work in the broad business context.

-Develop controls and monitoring dashboards to ensure performance against business goal, regulatory requirements and business priorities

• Another integral element of data analyst's job description is EDA, or Exploratory Data Analysis Project. In such data analyst projects, the analyst needs to scrutinize data to recognize and identify patterns. The next thing data analysts do is use data modeling techniques to summarize the overall features of data analysis. Key Skills for a Data Analyst.

• Strong mathematical skills to help collect, measure, organize, and analyze data.

• Technical proficiency regarding database design and development, data models, techniques for data mining, and segmentation.

• Experience in handling reporting packages like Business Objects, programming (ETL frameworks), databases.

• Proficiency in statistics and statistical packages like Excel, SPSS, and SAS to be used for data set analysis.

• Adept at using data processing platforms like Hadoop and Apache Spar

• Knowledge of data visualization software like Tableau/Power BI

• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions