Data Analyst

Opus Recruitment Solutions

London

9 months ago

Applications closed

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Hybrid Model - 3 Days

Salary: £40,000 - £60,000

The Company:My client, a growing telecommunications company recently acquired by a private equity firm, is entering an exhilarating phase of expansion and innovation. This is your chance to join a company that's poised to revolutionize the industry!

Key Responsibilities:

Develop and implement data analysis strategies to leverage the latest advancements in analytics for innovative solutions.
Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models.
Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights.
Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals.
Enhance product and service analytics efforts, including network optimization, to maximize business performance.
Work with senior leadership to develop and execute detailed plans for solution delivery, ensuring alignment with organizational objectives.
Build and maintain strong relationships with business stakeholders, fostering a collaborative environment within the data science and analytics community.

About the Team:The data science and analytics teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics.

What You'll Need:

Expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques.
Proven experience in developing and implementing data analysis solutions and strategies.
Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers.
Outstanding communication skills to effectively convey data insights to various functions at all levels of the business.
Proficiency in core analytical techniques and a proven track record in delivering data science and analytics projects.
A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.
Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure.
Experience with Databricks and working with large amounts of data.

Ready to innovate in the field of data science and analytics? Apply now and join a team that's shaping the future of telecommunications! 🌟

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