Manager, Data Analytics
London, England, United Kingdom
Interpath Advisory
When you’re faced with critical business decisions, our expertise and creative solutions will help you find the right path. Fast.Interpath is looking for an experienced candidate to help develop Interpath’s Data & Technology consulting group, of which the Data Analytics team is part. Our Data Analytics team is a busy group serving analytics requirements across multiple service lines at Interpath.
We will consider Data Analytics specialists with experience in various areas, in particular experience of Value Creation, Transaction Services, Forensic or Compliance would be relevant.
The successful applicant will bring fresh data solutions and ideas for the variety of client projects, covering the way the data is collected, stored, applied and presented.
Key Accountabilities:
- Building new data capabilities covering Customer profiling, segmentation & profitability; demand forecasting & inventory management; supply chain optimisation; (Procurement) spend analytics to compliment the mature working capital capability in place today.
- Create a Data Insight playbook covering the topics above.
- Accelerate delivery timelines through better solutions.
- Act as central point of contact for the team and create great working relationships.
- Show the “art of the possible” and be integral in the change management process.
- Help the team to extract information and provide insightful reports (using different techniques).
- Create meaningful dashboards to help inform/set strategy and predict trends (for clients).
- Work with the data team to determine the best data infrastructure to maximise analysis.
- Design a blue-print architecture of the tools and techniques to use for value creation and client facing projects.
- Lead the charge in building new data capabilities within the team.
- Accelerate delivery of key data projects through new ‘ways of thinking’.
Requirements
- At least 4 years of experience in the Data Analytics space (preferably in a consulting context).
- University degree 2.1 or higher (or equivalent) in Computer Science / Mathematics / Statistics or equivalent.
- End to end knowledge of data warehouse and reporting processes.
- Ability to identify and implement process improvements in a controlled manner.
- Commercially strong and particularly in story-telling skills to key stakeholders and clients.
- Numerate & analytical with knowledge of data management.
- Proficient in BI tools like PowerBI, Qlik, Tableau.
- Proficient in Microsoft SQL.
- Proficient in Python / R.
- Strong knowledge of statistical methodologies and data analysis techniques (eg clustering).
- Passionate about data analytics. Technically self-sufficient with a desire and ability to research and pick up new tools and techniques quickly.
- Ability to visualise data effectively and communicate findings and recommendations clearly.
- Proven experience of cloud technologies (AWS, MS Azure, GCP).
Advantageous competencies (but not essential):
- Exposure to AI/ML.
- Exposure to the open source stack.
- Experience in price modelling techniques.
- Experience in managing a small data team and mentoring.
- Some exposure to behavioural data (eg Google or Adobe analytics).
Benefits
- Annual leave 26 days (in addition to Public/Bank Holidays)
- Private medical insurance
- Life Assurance (4x salary)
- Group Income Protection
- Holiday buy / sell (up to 10 days via salary sacrifice)
- Workplace pension scheme
- Discretionary bonus scheme
- Discounted gym membership
- Dental Insurance (optional, BUPA)
- Critical Illness Insurance (optional)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Clustering Computer Science Consulting Data analysis Data Analytics Data management Data warehouse GCP Machine Learning Mathematics Open Source Power BI Python Qlik R Research SQL Statistics Tableau
Perks/benefits: Fitness / gym Health care Medical leave Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Intern jobs
- Open Junior Data Scientist jobs
- Open Lead Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Data Science Manager jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Marketing Data Analyst jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open MLOps Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open CI/CD-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs