Data Analytics Engineer – CL4

Role Overview: As a Data Analytics Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Key Responsibilities:

Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.

Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.

Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.

Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.

Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.

Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement, and learning.

Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and data designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.

Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.

Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

Work you will do

This is a unique opportunity to be a part of growing Data & Analytics team supporting enterprise data and reporting solutions. You will manage and optimize a Microsoft SQL Server environment populated via SnowMirror, design data visualizations in Tableau, and build Performance Analytics (PA) and reporting solutions within ServiceNow.  

·       Maintain a deep knowledge of Tableau creator capabilities and design for the delivery of specific project requirements.

·       Maintain a working knowledge of Tableau Server architecture and the capabilities around the publishing and scheduling of reloads.

·       Ability to clearly communicate and update project leadership on-going challenges and deliverables.

·       Mentor platform developers encourage innovation, growth, adoption, and overall excellence.

·       Understand customer usage patterns and build relationships with key influencers in the internal Tableau community.  

·       Work with other specialists and architects to research and understand Tableau capabilities and be prepared to speak to when Tableau is best fit for use case and when not.

·       Provide teams with guidance and knowledge to drive ownership and ultimately decisions to development/support teams.

·       Collaborate with stakeholders to define KPIs and reporting standards.

·       Design and develop ServiceNow Performance Analytics (PA) indicators, breakdowns, widgets, and dashboards.

·       Create and maintain operational and executive reports; implement reporting best practices and governance within ServiceNow.

·       Support data integration between SQL Server and ServiceNow where required.

·       Perform light to moderate ServiceNow scripting (JavaScript-based); develop and maintain business rules, UI policies, client scripts, and workflows/flows.

·       Support configuration and enhancement of ServiceNow modules; participate in testing, debugging, and deployment activities.

·       Skilled in data visualization and effective data storytelling.  

·       Assist other members to ensure the work meets quality standards for science-based deliverables.

·       Analyze work product progress and provide objective reporting of project status.

·       Analyze quantitative and qualitative data, synthesize findings, and convey them through effective writing.

·       Facilitate the departmental Customer Satisfaction Survey from deployment to analysis.

·       Prepare reports and deliver presentations to inform business leaders decision making. (e.g., Client proposal, progress reports, insight reports)

·       Serve as a resource for the team who may execute individually assigned tasks.

·       Support team activities and project planning.

·       Develop and deliver special projects as required.

·       Serve organizational role(s) in DAS Data Science Community of Practice as needed.

·       Create specifications for reports and analysis based on business needs and required or available data elements.

Key Responsibilities

·       Work with the business and ITS technical teams to develop success measurement and analytics plans and ensure the infrastructure requirements are in place to measure the effectiveness of key features, ensuring that business goals and user needs are met.

·       Performs standard business analysis using a variety of techniques, e.g., statistical analysis, descriptive and predictive analytics, ROI calculations, break-even analysis, pay-off analysis, and discovery-based data mining.

·       Research and help define internal best practices and support developing the recommendations and solutions designed to help the business achieve desired outcomes.

·       Accept overall responsibility and establishes appropriate controls for delivering team objectives of the key feature value assessment and application effectiveness monitoring deliverables.

·       Work cross-departmentally to create analytics journey-map deliverables.

·       Responsible for measuring application success and monitoring adoption goals and usage to accelerate user adoption of business applications.

·       Works with internal clients and constituents to identify analytical needs, gather requirements, perform analysis, and interpret results and present findings and recommendations for implementation.

·       Engage in data collection activities to ensure that all relevant data is captured to govern applied analytics development.

·       Adept at framing business questions and practices in analytic terms and translating business requirements into corresponding datasets, analyses and required reports.

·       Advise and collaborate with the Deployment Center of Excellence (DCOE) to establish adoption benchmarks and goals relative to promotional efforts.

Education:

·       Bachelor’s degree in Computer Science or Business Information Systems or MCA or equivalent degree.

Qualifications:

• ·       5+ years of experience in design & creation of Tableau applications and/or administration of Tableau platforms.
• ·       Advanced level of experience in Tableau, and report/data mart modeling is must.
• ·       Hands-on experience with Tableau dashboard development & strong ability to translate KPIs into clear visual stories.
• ·       3+ years of experience working with Microsoft SQL Server; strong expertise in SQL query writing and database performance tuning.
• ·       Hands-on experience designing and developing ServiceNow Performance Analytics (PA) content, including indicators, breakdowns, widgets, and dashboards.
• ·       Proven ability to create and maintain operational and executive reports/dashboards, with strong understanding of KPI definitions, metric governance, and reporting best practices in ServiceNow.
• ·       Experience supporting data integration between SQL Server and ServiceNow (e.g., data imports/exports, reconciliation, and data quality validation).
• ·       Working knowledge of ServiceNow JavaScript-based development; experience building/maintaining Business Rules, Client Scripts, UI Policies, Script Includes (as applicable), and Flows/Workflows.
• ·       Strong analytical, problem solving and multi-tasking skills, as well as communication and interpersonal skills, is required.
• ·       Strong verbal and written communication skills, with an ability to express complex business concepts in non-technical terms.
• ·       Knowledge in IT Service Management principles, processes, and methodologies.
• ·       Consultative approach toward clients.
• ·       Experience working with SnowMirror or similar data replication tools.
• ·       Knowledge of data warehousing concepts and ETL processes.
• ·       Familiarity with ServiceNow platform architecture and integrations.
• ·       Understanding of ITSM, ITBM processes within ServiceNow.
• ·       Advanced MS Excel and Pivot knowledge, MS Word, MS PowerPoint.
• ·       ETL tools (SSIS, SAP BODS) and experience working with unstructured data is a plus. 

How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do.