Company: Connected Data Company
Full Address: Office 5 The Garage Studios 41-43 St Mary’s Gate Nottingham NG1 1PU
Weekly Hours Worked: 35.25 hours per week, Monday to Friday (hybrid role)
Salary: £20,000 – £22,000 PA
Please contact Abbey on [email protected] or call 0113 3500 333
About the company:
Rapid growth and demand mean we are doubling the size of our team.
We are growing fast, and we need likeminded individuals to join our mission to prevent and reduce debt through more effective data enablement. At Connected Data, our aim is to transform the way debt is managed by all organisations across all sectors, and truly enable more positive outcomes for those in debt.
Thanks to our innovative and unique approach, we have been doing just that. Now we’re looking for analysts with experience in debt management, augmented analytics and data enablement and deployment to join our team of passionate individuals.
While our collective expertise across the fields of debt analytics, business intelligence and data enablement are vast, we each bring with us an ingrained desire to do the right thing and an absolute focus on working together to deliver outstanding customer success. You would be joining an environment built on trust and one that fosters constructive challenge. Our team is diverse in outlook and thinking and committed to solving complex customer problems.
We operate a hybrid working model, work from our great office in the heart of Nottingham’s Lace Market and from home, lots of flexibility to support the very best performance for our customers.
Through true data enablement, we are transforming our customers’ insight across their debt management process, and they are seeing real results. We are simplifying the deployment of predictive data, removing data noise and identifying opportunities to prevent and reduce debt. And we are in a very unique position – partnering with multiple UK leading providers of data solutions – which in turn provides you with the unique opportunity to analyse and become familiar with this diverse amount of industry data.
Brief job description:
Estio Training have an exciting new opportunity for a Data Analyst with Connected Data, a Data Company based in Nottingham.
Job Description:
Under guidance, carry out data analysis alongside day-to-day operational data management which deliver a range of customer insight to both Connected Data’s clients and the end consumer.
Your duties and responsibilities in this role will consist of:
DATA ANALYSIS
Under guidance, deliver Connected Data use case solutions using best practice data and analytical techniques and following established quality procedures to help guarantee the robustness of the solution.
- Formulate and interogate data to create the dashboards and reports necessary to address business requirements.
- Interpret reporting and dashboards results.
- Ensure quality and accuracy of own work. .
- Question results through applied intelligence.
- Effectively communicate ideas in client customer value forums.
- Track the regular supply of client input data and check the accuracy and consistency of the data.
- Ensure the quality of all reports and data sent to customers.
TIME MANAGEMENT
- Plan, organise and complete own workload to meet project commitments within agreed schedules.
- Proactively identify potential risks in achieving personal timescales.
- Recognise when issues or problems need to be escalated.
- Provide status reports to key stakeholders when required.
MANAGING CLIENT/CUSTOMER RELATIONSHIPS
Support the client/customer relationship.
- Communicate with clients to help ensure accurate and timely implementation of POC and contracted work.
- Demonstrate understanding of the customer’s requirements.
- Build and maintain positive day to day customer relationships at peer level.
- Attend, support and contribute to client customer value meetings, including presenting own results, conclusions, and recommendations in both the Connected Data platform and verbal form.
- Recognise & raise client/customer problems or issues with key stakeholders.
Qualifications:
- 5 GCSEs grades A*-C/9-4 or equivalent (including English Language and Maths)
Skills Required:
- Equivalent Experience OR Degree, with a high numeric content e.g., Mathematics, Statistics, Operational Research, Economics, Physical Sciences.
- Experience of statistical / analytical project work.
- PC literate with experience in the use of coding languages (namely Python, SAS), statistical packages and Office tools.
- Knowledge of external data and value-added products. Understanding of how these are used within a client environment (not essential)
Personal qualities:
- Good interpersonal skills.
- Collaborative and a team worker.
- Good communication skills, including report interpretation and presentation of results.
- Good personal planning and time management.
- An inquisitive mind, focused on addressing and solving data and analysis problems.
- Common sense/logical approach to mathematical reasoning.
PERSONAL DEVELOPMENT
Improve personal and professional competencies, product knowledge and technical/analytical skills through continual learning.
- In consultation with the management team, action agreed personal development plan.
- Seek feedback to improve skills, knowledge, and competencies as part of the feedback process.
- Demonstrate improved knowledge of the Connected Data platform and use cases and the clients’ business.
- Show willingness to take on additional responsibility and more difficult project work.
Future prospects:
The role offers a permanent role upon completion of the apprenticeship depending on performance.
Training to be provided:
Estio apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Successful completion of this apprenticeship gives you an accredited Level 4 Data Analyst, with training in how to:
- Ascertain how data can be used to answer questions and solve problems.
- Gather, inspect, cleanse, transform and model data to identify patterns and trends.
- Present data and produce dashboards and reports to aid visualization and comparison.
- Use advanced theory and diverse techniques to harness greater understanding.
- Inform decision-making and make recommendations using an evidence-based approach.
- Ensure your business processes and procedures are compliant with data protection legislation.