Data Analytics Lead Resume Samples

4.7 (47 votes) for Data Analytics Lead Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data analytics lead job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume by selecting wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
AR
A Reichert
Aisha
Reichert
92138 Amparo Trafficway
Houston
TX
+1 (555) 769 8310
92138 Amparo Trafficway
Houston
TX
Phone
p +1 (555) 769 8310
Experience Experience
12/2014 present
Detroit, MI
Workday Functional Expert & Data & Analytics Lead
Detroit, MI
Workday Functional Expert & Data & Analytics Lead
12/2014 present
Detroit, MI
Workday Functional Expert & Data & Analytics Lead
12/2014 present
  • Creates, improves, and automates standard reports, and develops new reports
  • Develops and provides insights from operational HR data to HR Leadership, HR Business Partners, and other relevant parties
  • Conducts data integrity checks to improve accuracy of HR reporting and analytics
  • Understands HR data and creates models for operational dashboards, predictive analysis and forecasting
  • Ensures the completion of scheduled and ad hoc Workday reports
  • Designs and implements approaches and methods to create, analyze, and interpret HR related data
  • Designs and oversees data governance model to ensure data quality is maintained
05/2009 07/2014
New York, NY
Data Analytics Lead-global Technology
New York, NY
Data Analytics Lead-global Technology
05/2009 07/2014
New York, NY
Data Analytics Lead-global Technology
05/2009 07/2014
  • Identify decommissioning opportunities using data analytics and working with the LOBs and GTI to execute on these
  • Manage and execute data analysis function for the decommission factory
  • Hands on manager involved in the creation data analysis function and running of the utility
  • Define and create the data analysis function for the decommission factory across GT in close interaction with the various LOBs
  • Define operating model for the data analysis function
  • Providing guidance to the team on refining business questions, technical and statistical issues, and presenting concise insights
  • Developing insightful yet simple visualizations
10/2002 12/2008
Houston, TX
Data Analytics Lead
Houston, TX
Data Analytics Lead
10/2002 12/2008
Houston, TX
Data Analytics Lead
10/2002 12/2008
  • Overseeing the use of data analytics across a number of business verticals, such as customer service, operations, seller management, etc
  • Conducts data review for technical gaps, and collaborates with Quality Management System or IT to resolve
  • Performs experiments or tests to form data-driven conclusions to business challenges
  • Collaborates with other technical resources to develop and implement databases, data collection systems, and other strategies that optimize statistical efficiency and quality
  • Complies with professional and quality standards, complies with corporate policies and procedures, and acts in a manner consistent with 3M’s values and ethical standards
  • Interprets both structured and unstructured data, analyzes results using statistical techniques, organizes conclusions into recommendations/solutions, and provides ongoing reports
  • Leads definition on harmonized global metrics supporting Global Quality Management Systems (QMS) processes
Education Education
Bachelor’s Degree in Mathematics
Bachelor’s Degree in Mathematics
West Virginia University
Bachelor’s Degree in Mathematics
Skills Skills
  • Drove business decisions through profitability analysis / data insight
  • Good knowledge of data analysis techniques
  • Good planning / organisational skills
  • Highly customer focused
  • Experience using and developing outputs for reporting and visualization tools (Qlikview, Tableau, Cognos or similar)
  • Meticulous attention to detail
  • Think laterally and pragmatically
  • Record of successful project delivery
  • Experience developing an understanding of ‘Big Data’ through discovery and deduction
  • Barclays data/analytics experience a distinct advantage
Create a Resume in Minutes
1

Category Data Analytics Lead Resume Examples & Samples

  • Ability to synthesize requirements across multiple brands, gather data from multiple sources and provide data analysis in a format which Category leaders can leverage to develop strategies to optimize supply chain design and performance
  • Ability to develop and maintain partnerships across the organization to facilitate the success of Global Strategic Initiatives
  • Experience with Project Management, Consumer Manufacturing, and Performance Metrics is required
  • Strong systems experience including data mining in SAP and Microsoft Applications is required
  • Extensive organization, communication and facilitation skills – ability to develop and maintain credibility with all levels of management
  • International experience in a Global organization is preferred
2

Senior Data Analytics Lead Analyst Resume Examples & Samples

  • Serve as a Senior Data Analyst leading and supporting SEAP-related initiatives
  • Play strong leadership role for more junior SEAP team members
  • Perform data research/analysis and/or other ad hoc analytical tasks in support of AML Operations & Compliance
  • Analyze, prepare, present and interpret reporting results and recommendation to assist compliance and business users
  • Explore/evaluate and use appropriate tools and techniques to analyze a variety of data sources
  • Assist/lead in enhancement and implementation of AML scenarios globally
  • Strong data analytical skills
  • Ability to think outside the box with ad hoc prototyping skills using multiple techniques to solve a myriad of business scenarios
  • Synthesize information into knowledge by identifying relevant key trends and issues
  • Proficiency with SAS or R and other statistical/data management tools
  • Extensive knowledge of relational databases such as Oracle, and Data Marts and Data Warehouses
3

BSA / AML Data Analytics Lead Resume Examples & Samples

  • Provides oversight and direction on analytics, risk and operational reporting, and systems delivery and support for BSA/OFAC compliance
  • Promotes a robust analytical function for risk detection, profiling, and mitigation. This includes leveraging advanced analytical techniques (such as statistical modeling and data mining) and technology to improve risk detection and operational efficiency
  • Oversees the tuning and optimization of transaction monitoring system, and develops and maintains an effective model governance program that meets regulatory requirements. This includes the administration of governance over all tuning and optimization of models and business rules used in BSA/OFA compliance
  • Ensures timely and accurate MIS reporting for BSA/OFAC operations to Senior Management, Committees, and the Board
  • Provides ownership of BSA/OFAC systems and governance of BSA/OFAC systems to ensure adequate controls are in place. Provides strategic technology direction and managerial leadership to business partners and the IT department
  • Ensures staff receives necessary training and developmental experience to obtain subject matter expertise in their area of BSA/OFAC compliance and in the application of analytical techniques and tools
  • Serves as the point of contact for examinations and audits in all areas of responsibility
  • Master’s/Advanced Degree in Statistics, Mathematics, Industrial Engineering or other quantitative field; PhD preferred
  • Years of functional/professional experience: Minimum of ten years of experience in the fields of statistical analysis and quantitative model development
  • Years of supervisory or managerial experience: Minimum of 5 years of supervisory or managerial experience
  • Alternative: Combination of education and experience (years /description) PhD with seven years directly related professional experience
  • Substantial experience using statistics/statistical analysis and developing statistical models
  • Considerable experience using SAS, STATA, R or other statistical software
  • Considerable experience manipulating data and performing statistical analysis
  • A minimum of one year of experience performing quantitative BSA/AML analysis or validation
  • General understanding of sampling theory
  • Excellent interpersonal abilities including superior oral and written communication skills with significant experience writing technical documents for diverse audiences
  • Demonstrated success managing a small team
  • BSA/AML Banking, Regulatory or Consulting experience preferred
4

Banking Data Analytics Lead Resume Examples & Samples

  • Experience with Big Data technologies and techniques for analytics and mining
  • Demonstrated experience with data analysis, data integration, and data validation activities with large financial services institutions
  • Demonstrated experience and knowledge of banking analytics, credit risk, and other compliance/surveillance systems
  • Experience working in a solution-oriented project environment in large financial institution
  • Demonstrated experience with leading a team of people
  • Strong written communication skills and ability to provide thought leadership relevant to the interests and needs of our client base
  • Working knowledge of AML-related legal and regulatory requirements, and financial model creation, a plus
  • Bachelor's and/or advanced degree with a concentration in Computer Science, Management Information Systems, Business or Statistics/Mathematics
  • 6-8 years of experience within the financial services industry
  • Experience with data analysis, data validations, data integration/ETL technologies, business analysis
  • Experience with AML data projects would be preferred. Possesses knowledge of the challenges for a data integration implementation and data integration methodology
  • Experience with Data Integration/Business Intelligence projects within the Financial Services/Banking sector
  • Experience with complete project lifecycle in this area, including but not limited to requirements gathering, data analysis, design, development, testing and data validation
  • Ability to lead a team of 2-4 people on a data work stream
  • Experience with any of the leading Extract Transform Load (ETL) tools (Informatica, DataStage, SSIS) would be preferred
  • Strong analytical, attention to detail, organizational and core project management skills
  • Willingness to travel between up to 50%
5

Workday Functional Expert & Data & Analytics Lead Resume Examples & Samples

  • Develops understanding of ZCS operations and the Zoetis organization to enable improved reporting and analytics
  • Designs and implements approaches and methods to create, analyze, and interpret HR related data
  • Designs and oversees data governance model to ensure data quality is maintained
  • Understands HR data and creates models for operational dashboards, predictive analysis and forecasting
  • Develops and provides insights from operational HR data to HR Leadership, HR Business Partners, and other relevant parties
  • Conducts data integrity checks to improve accuracy of HR reporting and analytics
  • Creates, improves, and automates standard reports, and develops new reports
  • Ensures the completion of scheduled and ad hoc Workday reports
  • Networks and collaborates with HR colleagues to understand business requirements and leverage data to identify opportunities
  • Collaborates with the CoEs and ZCS to ensure that appropriate data is provided to comply with audit requests
  • Partners with HR Business Partners, CoE leads, and IT to ensure HR technologies are appropriately designed/configured, implemented and maximized
  • Facilitates prioritization of investment in HR technology to support current and future business needs
  • Embraces and drives change for HR Programs and technology solutions
  • Partners with IT to ensure that all necessary data interfaces are in place and fully functioning
  • Functional experience and expertise with Workday, its Business Processes and Reports/Dashboards
  • Ability to accurately organize and interpret information to derive business insights
  • Expertise in Cognos, and/or other reporting tools
  • Strong verbal and written communication skills to interact effectively with HR leadership, HR Business Partners, HR CoEs and ZCS team members
  • Strong analytical abilities to illustrate HR’s impact on the organization
  • Knowledge of HR business processes and terminology
  • Ability to breakdown complex situations into individual components and understand the interrelationship between these components
  • Expert in Microsoft Office software
  • Can be trusted to secure and maintain confidential information
  • Bachelor’s degree in Mathematics, Statistics, Finance or related field required; Master’s degree preferred
  • 5-8 years of experience of data analytics or related field and significant experience as a Workday functional expert
  • HR experience strongly preferred
6

Data Analytics Lead Resume Examples & Samples

  • Technical lead with responsibility for Data Action Center (DAC). Leads a global team of software developers overseeing design, development and implementation. Investigate and implement new technologies for delivering leading edge analytical solutions. Leverage domain expertise, technical experience and cutting edge technologies using prescriptive and predictive models to leverage Verizon competitive advantage in Risk, Collections, and Recovery analytics and insights
  • Bachelor’s degree in Mathematics/Computer Science/ Telecommunication, MS preferred or equivalent experience
  • Extensive experience in statistics/analytics
  • Experience leading High Performance Computing (HPC) and Wireless data analytic team
  • Extensive experience leading strategic software planning and development in analytics and business intelligence domain
  • Proven experience with Software Development Life Cycle with emphases in agile methodology
  • Extensive hands on experience with Object Oriented Development software packages
  • Experience with Wireless Technology and LTE/VoLTE is highly desirable
  • Excellent knowledge of real time analytics and detailed analytic as well as the ability to clearly communicate complex data to the internal and external teams
  • Solid understanding of SW engineering concept to build complex software architectures that resolve complex software challenges
  • Hands on experience with machine learning techniques
  • Working knowledge of building self-serve analytics tools for business users
  • Ability to package analysis in clear and concise reports and presentations
7

Data & Analytics Lead Resume Examples & Samples

  • 30% Create and implement data quality and a data management maturity roadmap for Cargill’s Transportation, Logistics, Storage, and Real Estate Data through clear data definitions, data standardization, processes, and controls in accordance with best practices
  • 30% Create and execute a robust data governance framework for aligning and storing both current and emerging data sources, working in conjunction with Cargill’s Data and Business Intelligence’s Data Platform
  • 30% Build and manage analyst team/capabilities with CTL Leadership, Mode, Regional, and Operations team to provide information, insight, metrics, and comparative analytics leading to positive business outcomes
  • 10% Deliver Data Solutions/Processes/Capabilities to Data Stewards
  • 10+ years of overall business experience
  • 5+ years in leadership experience, either indirect or direct management experiences
  • Proven experience influencing large teams
  • Demonstrated strong problem-solving and analytical skills
  • Ability to communicate and present effectively both verbal and written within multiple levels of the organization
  • Ability to manage multiple priorities, meet deadlines and make decisions that impact business results
  • Ability to lead thru ambiguity
  • MBA, Data Science, Management of Information Systems or Statistics Degree
  • 5+ years of Data Management experience at a business or enterprise level
  • Experience implementing process, systems, and organizational changes
  • Prior experience working in a complex global environment
  • Good understanding project management principles
  • Functional knowledge of technology systems, including SAP
  • Strategic thinker with understanding of competitive economics
8

Data Analytics Lead-global Technology Resume Examples & Samples

  • Define and create the data analysis function for the decommission factory across GT in close interaction with the various LOBs
  • Identify decommissioning opportunities using data analytics and working with the LOBs and GTI to execute on these
  • Define operating model for the data analysis function
  • Manage and execute data analysis function for the decommission factory
  • Hands on manager involved in the creation data analysis function and running of the utility
  • The candidate will need to be able to manage complex programs, adjusting priorities, plans and costs according to requirements with minimal supervision
  • The candidate will need the ability to lead teams to achieve genuine momentum and progress and have a strong grasp on how to influence and lead change in a matrix environment
  • Strong data analysis skills and good understanding of infrastructure requirements and technical implementations
  • Ability to communicate clearly both verbally and in writing to generate and maintain support for challenging goals that optimize GT performance
  • Ability to manage complex programs, adjusting priorities, plans and costs according to requirements with minimal supervision
  • Flexibility and initiative to see and then seize emerging opportunities, as well as the passion to inspire others to pursue them
  • Confidence to interact with all levels of management in GT, up to and including CIO-level
  • Ability to lead teams to achieve genuine momentum and progress
9

IT Data Analytics Lead Resume Examples & Samples

  • 10+ years of experience creating business value through data analytics, incorporating the lifecycle of solution design, implementation, and operations. Experience at a high level of technical expertise in one or more IT disciplines underlying data analysis such as database management, application development, solutions architecture, or IT infrastructure
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant
  • Experience in data analytics and database programming languages (e.g. SQL, R, Python, C/C++, C#, ETL frameworks)
  • Familiar with Enterprise Resource Planning (ERP) systems and business systems that support the functional and program areas
  • Familiar with Business Value Stream and functional area processes (e.g. BD, Finance, Operations, Supply Chain Management, Engineering)
  • Proven skills to work effectively across multi-disciplined areas in ambiguous situations
  • Experience in presenting findings to senior management and executives
  • 10 Years with a B.S./B.A. in Engineering, Science, or Mathematics or relevant field of study
10

Materials Data Analytics Lead Resume Examples & Samples

  • Inventory analysis, planning, and management. Support Materials Management organization in establishing comprehensive inventory policies and monitoring results vs. policies
  • Drive continuous improvement and ensure service level and inventory targets are met
  • Support the development of inventory strategies and plans per the NA Ops goals and objective
  • Help drive Cycle Time reduction efforts
  • Lead various Sales, Inventory, Operations, and Planning (SIOP) processes and requests, as needed
  • Minimum 6-10 years planning and/or materials experience required; manufacturing, electronics or aerospace environment preferred
  • Able to coach and develop others
  • Working experience with Lean and ACE / Continuous Improvement
  • Due to programs & projects we support, the candidate must be an US Person (US Citizen / Green Card Holder)
11

Data Analytics Lead Resume Examples & Samples

  • Leads definition on harmonized global metrics supporting Global Quality Management Systems (QMS) processes
  • Develops reports to be used that enable transparency of the process performance, decision making and continuous improvement
  • Conducts data review for technical gaps, and collaborates with Quality Management System or IT to resolve
  • Participates in change management activities to enable the use of metrics globally for QMS performance
  • Building strong relationships with Quality, Regulatory and Supply Chain partners
  • Collaborates with business and IT Master Data Management teams to ensure tools and data support Healthcare Requirements
  • Support training for Divisions and functions to ensure proper use of tools and metrics related to Quality Management System
  • Lead efforts to reach timely resolution to all issues or questions as needed
  • Complies with professional and quality standards, complies with corporate policies and procedures, and acts in a manner consistent with 3M’s values and ethical standards
  • Minimum of three (3) years of combined experience in Data Analytics, Quality and/or IT
  • Bachelor’s degree or higher in Computer Science, Informatics or related discipline from an accredited institution
  • Minimum of one (1) year of experience using the one or more of the following applications: Lotus Notes, SQL, Oracle, BOXI, Access and/or SAP
  • Ability to work in a large, highly matrixed organization
  • Strong organization skills and ability to juggle multiple requests
  • Independent and self-motivated
  • Flexible attitude and ability to work in a rapidly changing regulatory environment
  • Customer service oriented and desire for continuous improvement
12

Knowledge Management & Data Analytics Lead-r&d Resume Examples & Samples

  • Developing robust and efficient strategies to store data, visualize information and share knowledge across the Global Innovation organization
  • Identifying areas where knowledge and information transfer limitations are barriers to the delivery of innovative solutions and services
  • Keeping abreast and knowledgeable of established and cutting-edge solutions to enable our organization to have access to and share information needed to be highly effective and efficient
  • Collaborating with external network of Knowledge Management professionals to ensure industry best practices are continuously adopted
  • Closely collaborating with teams in the Information Technology functions to ensure that initiatives are well defined and potential solutions can realistically be implemented
  • Serving as main point-of-contact on all matters related to Knowledge Management. Handle multiple complex and shifting priority projects. Coordinate efforts globally and tailor solutions to regional needs
  • MS/BS degree in technical field, preferably in Data Analytics, Informatics, Information Management, Information Technology, etc. with 6 to 10 years of professional experience in multiple functions
  • Relevant experience in Knowledge Management, preferably in an R&D environment. Experience with research in life sciences, chemistry, engineering, food science is preferred
  • Data Management and analytics experience. Able to structure data and build logical models. Ability to define and frame application of an organizations data and analytics and make relevant knowledge available
  • Ability to decipher and align existing data sources, including laboratory data, and establish an underlying infrastructure for data access and visualization across the company
  • Experience in developing and continually updating and refining strategic goals. Strong experience in knowledge acquisition, creation, refinement, storage, transfer, sharing and utilization within a dynamic and complex organization
13

Global Vegetables Data & Analytics Lead Resume Examples & Samples

  • Bachelor’s Degree preference in Agriculture, Information Management, Supply Chain, or Engineering Degree
  • Master’s degree in analytical field such as Statistics, Data Science, MIS preferred
  • 5+ years of related work experience with exposure to analytics tools such as Minitab, SAS, Business Objects, Spotfire, Qlikview or Tableau
  • Views and considers issues from the point of view of all impacted stakeholders
  • Reacts quickly to unexpected changes within teams, providing direction to the team
  • Provides direction to teams in implementing changes based on opportunities
  • Fully communicates the impact of the changes across teams
  • Effective complex-problem solving, conceptual thinking and quantitative and analytical skills
  • Strong knowledge of statistical and data sciences
14

Senior Data / Analytics Lead Resume Examples & Samples

  • At least 6 years' experience with data governance and implementation
  • At least 2 years' experience with collaborative data and analytic tools, especially the Hadoop eco-system
  • At least 8 years' experience with data governance and implementation
  • Bachelor's degree in Computer Science or STEM field
  • Financial Services Sector experience
15

International Data Analytics Lead Resume Examples & Samples

  • Understanding Monsanto customer data environment
  • In close collaboration with Global Data Analytics Lead, manage and as required structure data analytics “program” (potentially in assigned regions/hubs), including
  • Bachelor’s Degree in Math, Statistics, Marketing, Business, or Analytics related field of study
  • 10+ years relevant business experience
  • Quantitative and analytics skills
  • Proven project management experience, preferably multi-region or global level
  • Knowledge or ability to quickly partner with business and understand the breadth and depth of existing Monsanto (customer and dealer) data
  • Leading through influence
  • Proven track record of effective people management skills
  • Knowledge and/or familiarity with agriculture industry
  • Global experience or experience in more than 1 world region
  • Lead in the conducting of analytical modeling or quantitative research
  • Managing and coordinating a cross-functional team
  • Delivering actionable insights from customer, dealer or sales data
  • Understanding of Monsanto’s business cycle
  • Reasonable understanding of the business enabling prioritization of relevant predictive analyses with right impact
16

Data Analytics Lead Resume Examples & Samples

  • Leading a team of data analysts to ensure integrity of modeling, feasibility of solution, and productive time to insight
  • Providing guidance to the team on refining business questions, technical and statistical issues, and presenting concise insights
  • Overseeing the use of data analytics across a number of business verticals, such as customer service, operations, seller management, etc
  • Working closely with business leaders to understand priorities, and the key decisions for which analytics support is required
  • Retrieving and cleaning data to make it usable from a variety of sources (and formats)
  • Developing insightful yet simple visualizations
  • Developing inference models explain how various factors contribute to outcomes (e.g., conversion, customer experience)
  • Relevant educational qualifications in statistics, data analysis, or similar, from a well-recognized institution
  • 7-10 years of experience in statistical analysis, business analytics, data science, or comparable analytics positions
  • Experience writing efficient SQL queries to extract and prepare data
  • Experience using advanced visualization and statistical techniques in SPSS, R, Python, or similar
  • Experience working with Hadoop/Hive to extract and manipulate data
  • Demonstrated ability to work in a strongly hypothesis-led approach
  • Experience communicating complex data and insights to a business audience
  • Demonstrated ability to analyze and solve business problems at their root, stepping back to understand the broader context
  • Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations
  • Good understanding of generalized regression models, decision trees, classification and clustering techniques and predictive modeling
17

Data Analytics Lead Resume Examples & Samples

  • Interprets both structured and unstructured data, analyzes results using statistical techniques, organizes conclusions into recommendations/solutions, and provides ongoing reports
  • Identifies, analyzes and interprets trends or patterns in complex data sets
  • Filters and cleans data by reviewing reports, output and performance indicators to locate and correct problems
  • Performs experiments or tests to form data-driven conclusions to business challenges
  • Acquires data from primary or secondary data sources (structured and unstructured) and maintains the data in databases and systems and ensures that data sources are adequate to meet the unique needs of the business
  • Works closely with team leads to prioritize business and information needs
  • Collaborates with other technical resources to develop and implement databases, data collection systems, and other strategies that optimize statistical efficiency and quality
  • Proven work experience as data analyst or business data analyst
  • Technical knowledge of data models, database design development, data mining, and segmentation techniques, in addition to experience with regression and model design
  • Knowledge of statistics and experience analyzing and managing large data sets using data management tools (e.g., Hadoop, Hbase, Hive, Mahout, SAS), as well as tools like STAT and R
  • Strong knowledge of and experience with reporting packages (e.g. Cognos, Tableau, QlikView, Business Objects, etc.) databases (SQL, Oracle, etc.) programming (XML, Javascript, or ETL frameworks)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate large as well as structured and unstructured information sets with attention to detail and accuracy
  • Adept at queries report writing and presenting findings
  • Ability to pose interesting/creative questions and quantify solutions with data
18

Data Analytics Lead-product Resume Examples & Samples

  • BA in Math, Economics, Engineering, Statistics or related field required
  • Expert user of advanced analytics tools & techniques to perform analysis and interpret data - some examples are: SQL, SAS, R, Python, Excel, Hadoop, etc
  • Expert user of analytics data visualization tools such as Tableau
  • Expert user of PowerPoint
  • 6 to 8 years of relevant Analytics experience
  • Financial product support background
  • Proven track record of driving Analytics into actionable business outcomes
  • Demonstrated ability to influence change across a complex organization
19

Data Analytics Lead-wealth Management & Mortgage Resume Examples & Samples

  • BA in Math, Economics, Engineering, Statistics or related field required
  • Expert user of advanced analytics tools & techniques to perform analysis and interpret data - some examples are: SQL, SAS, R, Python, Excel, Hadoop, etc
  • Expert user of analytics data visualization tools such as Tableau
  • Expert user of PowerPoint
  • 6 to 8 years of relevant Analytics experience
  • Advanced degree
  • Financial Wealth and/or Home Mortgage support expertise
  • Proven track record of driving Analytics into actionable business outcomes
  • Exceptional written and oral communication skills
  • Demonstrated ability to influence change across a complex organization
20

Data Analytics Lead Resume Examples & Samples

  • Data Analysis and Data Mining
  • Data Lineage, Data Mapping and Data Integration
  • Data Derivation from Data Lake and Warehouse
  • Data Derivation, Data Mapping and Data Integration related Development. [60%]
  • Requirement study for arriving at set of technical documents.[10%]
  • Creating the required plan and technical delivery road map and design.[10%]
  • Inputs to the functional document creation.[10%]
  • Reviews and sign-off.[10%]
  • Interact with SME to gather information
  • Create solution as per Barclays standards
  • Study various strategy documents available within the organization
  • Socialise solution with relevant stakeholders
  • Reviews & Sign-Off by Chief Engineer
  • Inputs to the other teams like Run/Production Support Teams etc
21

Data Analytics Lead-VP Resume Examples & Samples

  • Provide analytical support across all areas of Personal Banking & Mortgage businesses (Mortgages, Savings, Consumer Lending, Current accounts & Insurance for Community Banking and Premier), work with stakeholders from all levels to inform critical business decisions
  • Play a key role in the development of Finance Information approach/strategy
  • Provide leadership, guidance and development for the teams in the UK and Chennai
  • Conduct Ad hoc and pro-active analytics to inform business critical decisions
  • Continuous monitoring of financial performance and provide useful insights to stakeholders for driving improvement in business performance
  • Build effective stakeholder relationships across finance and beyond
  • Provide leadership to junior members of the analytics team and influence/shape Finance information strategy
  • Carry out data mining and modelling of customer profitability data. Develop self-serve tools to facilitate stakeholders in extracting useful insights from our database
  • Own the BAU processes (e.g. product vintage tracking and regular reporting) which are critical to stakeholders who use our data for reporting and modelling purposes. Oversee the input assumptions into the models and create process, controls around the assumptions
  • Automate manual BAU processes to improve productivity
  • Experience of working in the Financial Services industry
  • Experience of developing financial / data driven models
  • Experience of developing multi-regressions or propensity models a plus
  • Drove business decisions through profitability analysis / data insight
  • Experience using and developing outputs for reporting and visualization tools (Qlikview, Tableau, Cognos or similar)
  • Experience developing an understanding of ‘Big Data’ through discovery and deduction
  • Barclays data/analytics experience a distinct advantage
  • Demonstration of high degree of effective stakeholder management and project ownership
  • Record of successful project delivery
  • Excellent numerical and analytical skills
  • Technical data skills - must have highly developed SAS/SQL skills
  • Practical programming experience e.g. VBA, Python
  • Ability to work independently in data extraction, taking ownership of the accuracy of outputs
  • Good knowledge of the financial services industry
  • Ability to interpret complex data to make relevant business recommendations
  • Working knowledge of data structure across Barclays group a distinct advantage
  • Post graduate qualification in a numerate discipline desirable
  • Think laterally and pragmatically
  • Good knowledge of data analysis techniques
  • Creative thinker and problem solver
  • Understanding of product economics
  • Good planning / organisational skills
  • Self- motivated
  • Effective interpersonal skills
  • Highly customer focused
  • Resilience, persistence and self- belief