Senior Analytics Consultant
1 week ago
Senior Analytics Consultant required for a key hire with a leading industry Organisation
You will work closely with business stakeholders to identify challenges, uncover opportunities, and provide actionable insights. A key component of this role is stakeholder management, ensuring alignment between technical outputs and business goals.
While a data science background is preferred, experience with platforms like Databricks is highly desirable.
Key Responsibilities:
- Work with business stakeholders to define challenges, translate requirements, and deliver solutions that drive measurable business impact.
- Use advanced problem-solving skills to analyse large datasets and identify trends, insights, and actionable recommendations.
- Develop intuitive and insightful dashboards using tools such as Power BI, Tableau, or equivalent, ensuring effective communication of complex results.
- Manage relationships with key stakeholders, ensuring a strong understanding of business needs and providing tailored analytical solutions.
- Lead the development and implementation of analytical solutions using modern tools and techniques.
- Collaborate with cross-functional teams, including data engineers and data scientists, to deliver end-to-end analytics solutions.
- Stay current with emerging trends and technologies, leveraging tools like Databricks and cloud platforms (e.g., Azure, AWS) where appropriate.
Key Requirements:
- Proven history of solving complex business problems using data analytics.
- Demonstrated ability to derive actionable insights from large and complex datasets.
- Strong experience in developing dashboards and visualisations with Power BI, or similar platforms.
- Excellent stakeholder management skills with a track record of collaborating with senior business leaders.
- Strong analytical and problem-solving skills, with an ability to translate business questions into analytical approaches.
- Experience in advanced analytics techniques; a background in data science is preferable.
- Proficiency in SQL, Python, or similar languages; experience with Databricks is highly desirable.
- Strong communication skills, both written and verbal, with the ability to present technical results to non-technical audiences.
- A degree in Data Analytics, Computer Science, Mathematics, Statistics, or a related field. Advanced degrees are a plus.
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