Job summary
Job post source
This job is directly from Barclays
Job overview
The Senior Data Analyst/Data Engineer - AVP at Barclays is responsible for transforming complex data into actionable insights to support strategic business decisions and improve outcomes.
Responsibilities and impact
The role involves designing and implementing data models, building scalable data pipelines, applying analytics including machine learning, monitoring data quality and governance, creating reports and dashboards, and collaborating across teams to influence decisions and ensure compliance.
Compensation and benefits
The salary ranges from $105,000 to $150,000 base, with eligibility for incentive awards and comprehensive benefits including medical, dental, vision coverage, 401(k), life insurance, and paid leave.
Experience and skills
Candidates should have experience with SQL, Python, Spark, Azure Data Factory, machine learning, data governance policies like BCBS239 or GDPR, cloud platforms such as AWS or Azure, and strong collaboration and communication skills.
Career development
The role offers leadership opportunities including coaching and performance appraisal, involvement in strategic decision-making, and the chance to influence policy and risk management within the company.
Work environment and culture
Barclays values respect, integrity, service, excellence, and stewardship, fostering an environment that empowers, challenges, and drives employees to perform at a high standard.
Company information
Barclays is a global banking institution focused on innovative financial solutions and redefining the future of banking through technology and strategic initiatives.
Team overview
The candidate will work collaboratively across multiple teams and business divisions, potentially leading a team or guiding collaborative assignments.
Job location and travel
This position is based in Whippany, New Jersey, with no explicit mention of remote work or travel requirements.
Unique job features
The role includes working with advanced data technologies, involvement in complex data architecture and governance, and leadership responsibilities aligned with the Assistant Vice President level.
Company overview
Barclays is a British multinational investment bank and financial services company headquartered in London. It operates in two main divisions: Barclays UK, which focuses on retail banking, and Barclays International, which includes corporate and investment banking. The company generates revenue through various financial services, including personal banking, credit cards, wealth management, and investment banking. Founded in 1690, Barclays has a rich history, including launching the world's first ATM in 1967. The company is known for its innovation in financial services and strong global presence.
How to land this job
Tailor your resume to highlight expertise in designing data models, efficient SQL querying, and building scalable data pipelines using Python, Spark, or Azure Data Factory, as these are core requirements at Barclays.
Emphasize experience with analytics techniques like machine learning and AI, data governance knowledge including BCBS239 or GDPR compliance, and your ability to create clear visual reports with Power BI or Tableau to align with the job description.
Apply through Barclays' corporate careers site and LinkedIn to maximize your application visibility and ensure you meet different screening processes.
Connect with current employees in Barclays' data analytics or engineering divisions on LinkedIn; start conversations by referencing a recent Barclays data initiative or asking about how the team integrates AI in their workflows as ice breakers.
Optimize your resume for ATS by incorporating keywords such as 'data models,' 'SQL,' 'Python,' 'Spark,' 'Azure Data Factory,' 'machine learning,' 'data governance,' and 'Power BI' to improve resume screening success.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, find multiple application portals, and identify relevant LinkedIn contacts, freeing you to focus on preparing for interviews and networking.
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