Data Analyst III

Job Summary (Primary Purpose Of This Role)

This position is accountable for organizing and analyzing a multitude of data sources to deliver meaningful, measurable, and actionable insights enabling the Global Operations team to achieve their strategic priorities, ambitions and goals.

The position will be responsible for navigating the availability, quality and limitations of Client systems data and third-party data sources.

Curiosity and the desire to understand the broader business context will be key elements for this role to enable business users to make data-driven decisions.

Decision Authorities

Day to Day operational decision-making authority

Prioritizing and reprioritizing work deliverables and projects for internal clients based on changing business needs (deadlines, costs, scope of projects)

Decisions at this position are made using judgment based on skills and knowledge already developed

Decisions beyond normal day to day may require escalation to management

Managing projects and major deliverables

5Key Performance Indicator: Improvement of data quality and accuracy, the use and application of enterprise data and strategic analysis, becoming insights partner of choice with cross-functional stakeholders

Organizational Assumptions

Elevating data knowledge across the team, builds and nurtures an extensive network within the organization

Critical Behaviors

Strong problem solver, strategic and analytical thinker, team builder and collaborator

Working Condition: (If applicable, list the working condition in the terms of Travel Requirement, Physical Labor Requirement, Concentration Requirement and Visional Requirement)

Ability to communicate effectively and providing deliverables in a remote environment

Key Accountabilities: (Allocate the percent of total working time spending on each accountability, which should add up to 100%)

Individual Accountabilities

Provide data driven recommendations to Global Operations Strategy team and formulate strategies to grow the business and drive long term value – 30%

Be a trusted business partner, working collaboratively with teams to optimize analysis and insights while maintaining regular communication to during ongoing recurring reporting process

Use data to build a fact base to measure the efficiency and effectiveness of operations strategies and support opportunities with insightful analytics

Ability to interpret data using careful business-grounded logic to identify and analyze trends to derive meaningful and actionable insights that tie directly to our business objectives

Champion the use of new tools and techniques to optimize data and analytics reporting capabilities

Able to work independently with little to no supervision, proactively taking ownership of key analytical projects and provide support in the implementation of strategies

Provide subject matter expertise in data management area – 50%

Tactical support of data validation, consolidation, and cleansing processes; systematically identify data quality issues and improve speed on resolution

Automate processes to improve turnaround time on data availability and increase efficiencies in recurring reporting process

Proactively assess, analyze, and continuously innovate all aspects of data, reporting and analytics for the Global Operations team

Work closely with segment business and partners to transform business requests into value-add deliverables including data mapping, data aggregation, data cleansing & other data-related processes

Deliver ad hoc reporting to support initiatives and analytics projects – 20%

Support the creation of visualizations, reports and dashboards to track strategic KPIs for key business stakeholders to make data-driven decisions

Accountable for business intelligence tool adoption within the business community and train business users to fully leverage business intelligence tool

Ensure data captured is providing an effective measure of the overall success of the Global Operations team

Align performance management, tracking and reporting with other key stakeholders including Finance, Risk Management and Marketing teams

Competencies

Strong communication and presentation skills with the integrity and confidence to liaise with executives and senior management, articulates a clear view of concepts, ideas and objectives

Strong problem-solving and analytical skills with the ability to assimilate, synthesize and present complex information in a concise value-added form

Ability to evaluate feasibility and practicality of ideas and options, taking balanced risk approach to promote growth of ideas, comfortable in high pressure environments

Proven team builder and strong collaborator with the ability to build strategic partnership with internal clients and vendors; builds buy-in and engagement with key stakeholders

Candidate Requirements/Must Have Skills

SQL database background

PBI and data visualization

Data analysis and business intelligence

Management Reporting experience

5+ years of experience with data analytics, data mining or statistics

Experience with data visualization tools (e.g. Power BI, Tableau, Qlikview)

Experience in analysis packages and programming languages such as SQL, R, Python and/or SAS

Knowledge of Big Data Platforms, architecture and data tools (e.g. Hadoop, Spark, etc).

Nice-To-Have Skills

Stakeholder management experience – experience building a database and created data model from scratch

Education

University degree in quantitative based field (e.g. Statistics, Science, Engineering, Computer Science) is required.

Best Vs. Average

Average candidate is willing get hands dirty and do the data work, someone who is ideal will go above and beyond and is able to help accelerate capabilities, roll out to partners and exceed expectations

Education: Bachelors Degree