Barclays
Banking
DecisionAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Decision Analyst at Barclays. Skills: data analytics, machine learning techniques, data Science, Python, SAS, SQL, statistical techniques, Cards P&L, forecasting methodologies. Identification, collection, extraction of data from various sources. Performing data cleaning, wrangling, and transformation”
What You'll Achieve.
inform strategic decision-making; improve operational efficiency; drive innovation; drive the best outcome across channels and partners
Industry & Context.
extract valuable insights from the bank's data reserves; identify potential risks and opportunities; address their needs
What They're Looking For.
Must Have
Proficient in Python, Proficient in SAS, Proficient in SQL, Good knowledge of data analysis, Good knowledge of statistical techniques, Deep understanding of Cards P&L, Deep understanding of forecasting methodologies
Nice to Have
Experience in Credit Card / Banking, Experience in Data Science, Experience in Machine Learning, Experience in Advanced Analytics, Experience with Data visualization
What You'll Do.
extraction of data from various sources
Performing data cleaning
Development and maintenance of efficient data pipelines
Design and conduct of statistical and machine learning models
Development and implementation of predictive models
Collaborate with business stakeholders to seek out opportunities to add value from data
leading and building automated forecasting solutions
valuate acquisition marketing investments at the partner
drive marketing investment optimization decision for the business
operationalizing data platform
advance analytical methodologies and tools to forecast P&L
monitor model accuracy
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders; impact on the work of closely related teams; Check work of colleagues within team; Build relationships with stakeholders/ customers
Communication Scope
Communicate sensitive or difficult information to customers
Full Job Description
# **Job Description** **Purpose of the role** To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. **Accountabilities** * Identification, collection, extraction of data from various sources, including internal and external sources. * Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. * Development and maintenance of efficient data pipelines for automated data acquisition and processing. * Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. * Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. * Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. **Analyst Expectations** * To meet the needs of stakeholders/ customers through specialist advice and support * Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. * Likely to have responsibility for specific processes within a team * They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate team resources. * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they manage own workload
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