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Freelance Data Analyst (Client Hire)

0 years

0 Lacs

Delhi India

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

data consulting management automation support power processing reporting drive analyze reports tableau excel statistics sql visualization pivot macros vba programming python communication presentation

Work Mode

On-site

Job Type

Contractual

Job Description

Flexing It is a freelance consulting marketplace that connects freelancers and independent consultants with organisations seeking independent talent. Flexing It has partnered with Our client, a global leader in energy management and automation, is hiring a Freelance Data Analyst to support their Power Systems Customer Satisfaction & Quality (CS&Q) team.The ideal candidate will be responsible for collecting, processing, analyzing and automating data reporting to help drive strategic business decisions. Key Responsibilities: Collect, clean, and validate data from multiple sources. Analyze large datasets to identify trends, patterns, and insights. Develop and maintain templates, dashboards and reports using tools like Tableau or Excel. Collaborate with stakeholders to understand business needs and translate them into data solutions. Present findings in a clear and concise manner to both technical and non-technical audiences. Monitor key performance indicators (KPIs) and provide recommendations for improvement. Support data-driven decision-making across departments. Create presentations with relevant MS office tools Skills Required: -Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. -Proven experience as a Data Analyst or in a similar analytical role. -Proficiency in SQL and data visualization tools (e.g., Tableau). -Strong knowledge of advance excel, including pivot tables ,advanced formulas Macros & VBA. -Experience with statistical programming languages such as Python or R is a plus. -Excellent analytical and problem-solving skills. -Strong communication and presentation abilities. Show more Show less

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