Data Analytics Engineer/Tableau

Job Description

Job Description The Digital Platform Analytics team is dedicated to the design, development and delivery of strategic user-behavior and predictive analytical solutions, with the ultimate goal of creating and delivering an enterprise class Business Intelligence platform facilitating company relationship management with non-retail clients -- tracking business OKRs, facilitating discovery of actionable intelligence and supporting decision making of senior LOB, division and firm leaders within JPMC.We embrace a culture of experimentation and constantly strive for improvement and learning. You ll work in a collaborative, trusting, thought-provoking environment one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.Analytics Engineer will work to support upstream/downstream data-engineers, data-analysts, and firm-wide constituency of business analysts and AI/ML modelers, empowering them to access, classify, analyze and execute models using observable and derived data. Analytics Engineer will also develop and manage team-internal models and BI assets.This is a tremendous opportunity to learn about high-priority initiatives and collaborate with colleagues throughout the firm. Working at the intersection of business and technology, youll sharpen your understanding of business processes and data analysis, while continuing to develop your Technology and Leadership and communication skills. No matter where your career ultimately takes you, youll make a meaningful impact and lasting connections with outstanding colleagues and mentors. Qualifications In this role, the candidate will be responsible for end-to-end development of data management, data taxonomy, statistical and predictive models, ad-hoc analytics, visualization and dashboards, using industry best-in-class tool (Alteryx, Tableau) and novel/custom solutions. Candidate will develop dashboards and mashups that clearly portray the intended message and lead the end user to the appropriate conclusions. Candidate will collect and analyze complex data for reporting and/or performance (trend) analysis. In addition s/he will prepare a broad variety of reports and provides data and management information for internal clients and/or external LOBs; participate in high level business initiatives and assist with all levels of metric reporting and work closely with clients to understand their business requirements and translates them in to technical requirements for development.Well-qualified candidate required to demonstrate:
• strong foundation in SQL, Tableau, Alteryx
• experience in data management and modeling in traditional and big-data databases
• experience defining, measuring and enforcing data quality within established business taxonomy
• experience creating appealing and intelligent BI dashboards for senior business leaders
Well-qualified candidate will have proficiency or familiarity with related technologies, such as:
• statistical analysis and classical data-analysis models (knowledge of predictive modeling strongly preferred)
• mainstream software or languages for data analytics/modeling: Python, R, MATLAB
• visualization and BI vendor packages: e.g. Qlikview, Cognos
• warehousing and big-data solutions: e.g. Hive, Snowflake
Candidate is expected to periodically provide in-depth analysis of alternative or emerging competing technologies (ex: dbt, Airflow, UI-Path, etc.), along with grounded adoption recommendations.The successful candidate will leverage their existing skills to maintain high data quality, enhance business taxonomy, while building their knowledge of the business allowing them to continually evaluate and enhance the existing suite of data models to the evolving needs of the product and customers.This position requires an individual with analytical skills and a proactive, problem-solving mindset who can identify issues and partner with key stakeholders to provide usable data sets as required to inform a myriad of use cases across the platform. Someone who can bring a demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Key Responsibilities
• Own, create, and manage data sets for the product and it customers, enabling key stakeholder/user groups to engage in bespoke business intelligence analysis.
• Develop product specific insights dashboards highlighting key OKRs for product development.
• Query data and merge information from diverse data sources to create rich datasets that enable better decision-making.
• Analyze data using tools such as Tableau, Alteryx, SQL, Python and R to develop and automate reports or analysis that lead to actionable business insights.
• Identify unexplored data opportunities for the business in partnership with other teams, such as data science to unlock and maximize the potential of digital data within the organization.
• Keep abreast of digital marketing trends and provide recommendations for testing new and emerging business insights platforms.
Qualifications Tableau Certification and 1 year of hands-on experience developing data visualization and presentations with Tableau Desktop/Server. Alternatively minimum 3 years of experience without certification (candidate will be required to obtain Tableau Certification within 3 months of start).Alteryx Certification and 1 year of hands-on experience designing and managing data-modeling and workflow orchestration. Alternatively minimum 3 years of experience without certification (candidate will be required to obtain Alteryx Certification within 3 months of start).Minimum 3 years of hands-on experience data modeling using relational databases with SQL to pull; experience working with very large datasets, report creation and ad-hoc analytics.Experience in report development highlighting business OKRs, and ability to interpret unstructured data and draw objective inferences given known limitations of the data. Strong problem-solving capabilities and the ability to recognize the issues and recommend a solution.Experienced with advanced data manipulation and cleansing techniques; able to learn new BI technologies as required.Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions.Ability to define and manage deliverables through all phases of project life-cycle. Proactive/self-starter with the ability to deliver value-added support to business partners in a dependable, timely, and accurate manner. Adept at meeting deadlines in a high-visibility environment.,

Keyskills :
use casesdata modelsdata sciencedata qualitydata analysisdata modelingdata managementproblem solvingdigital marketinganalytical skillsdata manipulation