- 경험
- 어느
- 샐러리
- GBP 425 – GBP 425 / day
- 채용 공고
- 1
- 게시됨
- 3시간전
- 작업 모드
- 잡종
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Role Overview
We are partnering with a prominent global firm to find a skilled Data Analyst for a 12-month contract based in Manchester, UK. This position requires presence onsite on Tuesdays, Wednesdays, and Thursdays. The daily remuneration is £425, falling inside IR35 regulations.
Job Responsibilities
- Gather, cleanse, verify, and analyze extensive datasets sourced from multiple channels.
- Create and maintain analytical dashboards and reports utilizing Power BI, Tableau, Excel, and other business intelligence platforms.
- Convert business demands into tailored analytic solutions and practical insights.
- Conduct exploratory data analyses to discover patterns, opportunities, and improvement potentials.
- Provide ad hoc analytic support aiding business and operational decision processes.
- Track key performance indicators and deliver regular updates to principal stakeholders.
- Develop and fine-tune SQL queries, data structures, and reporting mechanisms.
- Collaborate with various teams to identify and solve data quality problems.
- Assist forecasting, trend analysis, and predictive modeling efforts.
- Adhere to data governance, security, and privacy standards.
- Document analytical methods, data definitions, and reporting workflows.
- Communicate findings and suggestions effectively to both technical and non-technical audiences.
- Lead improvements through report automation and process optimization strategies.
Qualifications and Skills
- Demonstrated professional experience as a Data Analyst.
- Proficient in SQL and Python for querying and analyzing data.
- Expertise in developing dashboards with Power BI and/or Tableau.
- Strong quantitative and analytical capabilities to interpret complex datasets.
- Experience converting business requirements into impactful data solutions.
- Excellent problem-solving aptitude and critical thinking.
- Effective communication and stakeholder management abilities.
- Experience working collaboratively with both business and technology teams.
- Self-driven, motivated, and capable of thriving in a dynamic environment.
Additional Desired Experience
- Familiarity with enterprise-level data platform projects.
- Knowledge of forecasting and predictive analytics methodologies.
- Understanding of data governance and privacy regulations.
- Experience in automating reporting tasks and workflows.
- Previous involvement with large, intricate enterprise environments.