Technical Data Analyst

1 month ago


London, UK, United Kingdom Concord EU Full time

Concord isn't your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data.


Our core capabilities work together to help companies untangle their toughest business and technology challenges: Business Strategy & Alignment, Digital & User Experience, Cloud Applications & Integration, Data Solutions & Analytics, Quality Engineering, and Information Security.


Currently we are looking for a Technical Data Analyst. The successful candidate must have the ability to independently manage their own data, identify and measure business and growth drivers, and provide insights for a broader audience.


Key Responsibilities:


  • Aligning KPIs & Metrics: Work with cross-functional teams to drive alignment on KPIs and crucial metrics that help track team-specific and company-wide trends, growth initiatives, and overall business performance.
  • Developing Machine Learning Models: Develop Machine Learning models to forecast critical financial metrics that impact the business's growth and success. Mange end to end aspects of complex analytics model/project build (i.e., scope, requirements gathering/finalizing, stakeholder management, communication, project management).
  • Generate Insights: Leverage statistical methods, perform causal analysis, analyze data, and generate insights into the drivers of the business.
  • Building Dashboards and Data: Collaborate with the team to design and build comprehensive dashboards and data sets to support Finance and Operations decision-making processes.


Qualifications:


  • Strong business acumen and exceptional analytical ability with 5+ years of industry experience with data analysis/data science/operations research.
  • Proficient in SQL, data visualization (Qlik, Tableau,QuickSight), and scripting languages (Python, R, Javascript).
  • Experience implementing advanced statistical models such as time series forecast, clustering, classification, regression, decision trees, random forest.
  • Understanding forecasting processes, financial reporting, and other accounting and financial concepts.
  • Ability to manage multiple projects simultaneously to meet objectives and key deadlines, balancing short & long term strategic implications to meet and/or exceed business objectives.
  • Outstanding communications skills with both technical and non-technical colleagues, think critically, iterate quickly, and partner across a wide variety of functions to drive changes.
  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience.


If you believe that your profile meets the above requirements and you are interested in joining our team, please apply with your CV.

Only short listed candidates will be contacted.


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