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Data Analytics Manager

Sadler Recruitment Ltd
Posted 10 hours ago, valid for 24 days
Location

Bolton, Lancashire BL1 6LU, England

Salary

£49,440 per annum

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Data Analytics Manager position is located in Bolton or Doncaster, offering a hybrid work model of three days in the office and two days working from home.
  • The role comes with a salary of £49,440 per annum and requires a bachelor's degree in Data Science, Statistics, Business, or a related field.
  • Candidates should have good experience in data analysis, particularly in managing and interpreting large, complex data sets, along with proficiency in SQL and Power BI.
  • Key responsibilities include analyzing complex data sets, optimizing data channels, and presenting insights to senior leadership.
  • The position also emphasizes collaboration across various teams and the ability to convey complex data insights effectively.

Job Title: Data Analytics Manager

Location: Bolton OR Doncaster (3 days in the office + 2 days working from home)

Job Type: Full-time

Salary: £49,440 per annum

Are you an analytical thinker with experience managing complex data sets and a talent for translating numbers into insights?

We're looking for a Data Analyst to work on challenging data projects in the energy sector. You'll play a vital role in evaluating data channels, optimising strategies, and presenting insights to senior leadership.

Key Responsibilities
  • Analyse Complex Data Sets: Explore data from various sources to uncover trends, provide actionable insights, and support strategic decision-making within the energy sector.
  • Channel Assessment & Optimisation: Evaluate and recommend suitable data channels to meet project objectives, identifying efficiencies and optimization opportunities.
  • Data Visualisation & Reporting: Use Power BI to create clear, insightful visualizations and dashboards, allowing stakeholders to track key performance metrics.
  • SQL & Data Extraction: Leverage SQL to query and manage large data sets, ensuring reliable analysis and consistent results.
  • Excel Mastery: Use advanced Excel functions like pivot tables, VLOOKUPs, and complex formulas to conduct detailed data analysis and support day-to-day reporting.
  • Present to Senior Leadership: Prepare and deliver concise presentations to senior leadership, translating complex data into clear, actionable insights.
  • Cross-functional collaboration: Work with teams across engineering, finance, and operations to align on objectives and utilize data to support broader energy strategies.
Skills & Qualifications:
  • Bachelor's degree in Data Science, Statistics, Business, or a related field.
  • Good experience in data analysis, with proficiency in managing and interpreting large, complex data sets.
  • Proficiency in SQL for data extraction and manipulation.
  • Expertise in Power BI to create impactful visualisations and track data metrics.
  • Advanced Excel skills.
  • Strong analytical skills with attention to detail and data accuracy.
  • Excellent communication and presentation skills to effectively convey insights to senior leadership.
  • Ability to adapt and work across various teams and project requirements, with a curiosity to learn about the energy sector.
Why Join Us?
  • Collaborate on challenging marketing campaigns and impactful data projects in the energy sector.
  • Flexible working options.
  • Competitive salary, benefits, and opportunities for professional growth.

For immediate consideration please send your CV in today

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.