Senior Data Analyst

1 day ago

Noida, Uttar Pradesh, India Dataflow Full time ₹ 15,00,000 - ₹ 28,00,000 per year

About the Role:

We are seeking a highly skilled and experienced Senior Data Analyst to join our dynamic

Operations team. In this pivotal role, you will be instrumental in leveraging data to

optimize operational efficiency, identify bottlenecks, enhance service delivery, and

uncover actionable insights that directly impact our operational excellence and client

satisfaction.

Duties and Responsibilities:

Data Analysis & Insight Generation:

Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. Translate raw data into clear, concise, and actionable insights that address key business questions.

Data Manipulation & Transformation: Expertly "slice and dice" data using advanced functions and features in Google Sheets or Microsoft Excel to prepare data for analysis, build models, and create reports.

Reporting & Visualization: Develop and maintain comprehensive dashboards, reports,

and presentations that effectively communicate analytical findings to various stakeholders, including senior leadership.

Problem Solving: Proactively identify business problems and opportunities, and leverage data to propose solutions and strategies.

Stakeholder Collaboration: Work closely with cross-functional teams (e.g., Marketing, Operations, Product, Finance) to understand their data needs and provide data-driven support for decision-making.

Data Quality & Governance: Contribute to ensuring data accuracy, consistency, and

integrity across various data sources.

Methodology & Innovation: Continuously explore and implement new analytical

techniques and tools to enhance the team's capabilities and efficiency.

Qualifications:

Experience: Progressive experience in a data analytics role, with a proven track record of

delivering impactful data-driven insights.

Analytical Mindset: Demonstrated strong analytical and problem-solving skills, with an

innate curiosity and ability to break down complex problems into manageable

components.

Data Manipulation Expertise: Exceptional hands-on proficiency with either Google

Sheets or Microsoft Excel (advanced functions, pivot tables, VLOOKUP/XLOOKUP,

conditional formatting, data validation, charting, etc.) is a must.

Data Slicing & Dicing: Proven ability to effectively manipulate, transform, and analyze

large volumes of data from various sources to uncover meaningful patterns and

relationships.

Communication Skills: Excellent verbal and written communication skills, with the ability

to articulate complex analytical concepts to non-technical audiences clearly and concisely.

Attention to Detail: Meticulous attention to detail and a commitment to data accuracy

and integrity.

Proactiveness: Self-motivated, proactive, and able to work independently as well as

collaboratively within a team environment.

Preferred Qualifications (Nice to Haves):

Experience with SQL for data querying and extraction.

Experience with statistical analysis and modeling (e.g., Python, R)

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