Looking Candidates for-Business Intelligence Reporting & Data Analytics Associate

Job Description

Business Intelligence Reporting & Data Analytics Associate About the Team The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world s most important corporations, governments and institutions entrust us with their business in more than 100 countries.Within Merchant Services, the Global Small Business (SMB) organization is an innovative leader in serving Small Business clients through banking, payments and lending products and services. We drive payments innovation and growth through strategic partnerships as well as new products and features designed to address the unique needs of this segment.The CPS Marketing Analytics team focuses on the art of bringing data and science together to improve the impact of our marketing efforts, driving measurable incremental business growth. In this pursuit, we are influencing all key activities. To expand this success, we need data experts that can be agile and provide better analytics coverage to our marketers. Role Description The Business Intelligence Reporting & Data Analytics Associate will be a critical contributor in supporting the CPS Marketing Analytics team as we measurably improve financial results and process efficiency. By integrating their work into the greater marketing team, we will yield better plans, workflows, insights, execution, measurements and risk management. This role is responsible for providing accurate and actionable information regarding campaigns, customers, and our industry. Beyond the critical importance of creating and managing dashboards and reports that describe what has happened in the past, this role will also derive insights and recommendations that help shape our future strategic approach. Specifically, the individual will assist in building/maintaining dashboards to track the performance of our market campaigns and support data requests for different business needs. The individual will also be solely responsible for assessing existing workflows and identifying opportunities to improve reporting effectiveness and efficiency. The ideal candidate will be a quick learner who is able to adopt a variety of data analytics tools and use their extensive knowledge of data processing & reporting for direct value-added application. What you will do:
• Identify data automation capabilities and apply them to appropriate use cases to create capacity for businesses.
• Re-engineer data processes to optimize cycle time and reduce waste in the data process step.
• Synthesize information from data platforms, competitor and brand tracking, third-party data, testing, analytic products, product features/baskets, and customer journeys into information that can be easily interpreted by broad business audiences
• Build dashboard inventory management procedures and control documentation (e.g., dashboard operating procedures, process schedulers, data flows).
• Communicate directly with internal stakeholders to reconcile discrepancies and take the best approach to remediate data quality issues.
• Maintain and revise existing scorecards, dashboards, and other metrics reports for management as needed.
• Analyze large data sets across different LOBs and work within an Agile framework to deliver on business initiatives for marketing campaigns.
• Closely track marketing performance and escalate risks/issues/findings to leadership as needed
Who you are:
• Bachelors degree with 1-3 year s data analysis experience.
• Must be proficient with SQL.
• Experience in building dashboards with business intelligence tools (Tableau, Qlik or Power BI)
• Highly analytical, with experience in defining analytical approaches for projects and collecting, analyzing, and synthesizing data from multiple sources to develop actionable solutions.
• Ability to learn quickly, manage work independently and is a team player.
• Ability to collaborate with business teams in order to understand, translate and review requirements into logical data models and interface specifications.
• Analytically minded with a natural curiosity and interest in experimentation and constant iteration and improvement.
• Ability to multi-task, moving easily between strategy and execution.
• Knowledge in Alteryx, Python or RPA solutions(e.g., UiPath/Automation Anywhere) is preferred.
• Eager to learn cutting-edge data science techniques is preferred.
• Experience with AWS is preferred.
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Keyskills :
business intelligence toolsdata sciencedata qualitydata analysisdata analyticsbrand trackingdata processingmarketing analytics