Data Analyst

Voice/ Non-Voice: Voice

Shift: As per business requirement

Qualification : B.Tech/Degree

Experience : > 4 Yeras

Experience Breakup: Non BPO

Essential Hiring Skills: SQL, Advance SQL, Visualization Tools (Looker, PLX, etc.,) , Excel / Spreasheet , Presentations

Good to have Hiring Skills: Good to have Google Tools knowledge

Responsibilities:

1) Querying and Scripting: Writing (Simple and Advance) and modifying SQL scripts to extract, manipulate, and analyze data.
2) Dashboard Creation and Maintenance: Building and updating dashboards to visualize data, ensure data accuracy, and make necessary adjustments.
3) Data Validation and Quality Control (QC): Verifying data accuracy, identifying mismatches between sources, and performing QC checks.
4) Data Analysis and Interpretation: Analyzing data to identify trends, discrepancies, and insights, and providing explanations for observations.
5) Reporting and Documentation: Communicating findings, updates, and challenges through documents and reports.
6) Collaboration and Communication: Working with other team members, including business analysts (BAs), engineers, and operations teams, to understand requirements, provide updates, and address issues

Languages: English, Hindi

Language Proficiency Level: English - Proficient

Location : Hyderabad

Work Mode : Work from Office.

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Do

1. Managing the technical scope of the project in line with the requirements at all stages

a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends

b. Develop record management process and policies

c. Build and maintain relationships at all levels within the client base and understand their requirements.

d. Providing sales data, proposals, data insights and account reviews to the client base

e. Identify areas to increase efficiency and automation of processes

f. Set up and maintain automated data processes

g. Identify, evaluate and implement external services and tools to support data validation and cleansing.

h. Produce and track key performance indicators

2. Analyze the data sets and provide adequate information

a. Liaise with internal and external clients to fully understand data content

b. Design and carry out surveys and analyze survey data as per the customer requirement

c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools

d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking

e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool

f. Develop predictive models and share insights with the clients as per their requirement

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Deliver

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