Data Analytics Senior Resume Sample

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Yolanda Bednar
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Work Experience


Data Analytics Senior
06/2016 - PRESENT
San Francisco, CA
  • Deliver advisory services in support of technology enabled business change, i.e. package & third party integrator selection, vendor selection, application studies, solution architecture studies and/or program diagnostics and recovery
  • Identify and assess complex problems and create solutions that require in-depth evaluation of variable factors which are implemented by the team
  • Interact with client and internal senior management
  • Experience teaching technical courses, including certification, to customers and partners, including creating course materials
  • Mentor and Coach other team members and support their functions by providing expertise and insights into BASF’s organization and projects
  • Create Reports in PeopleSoft’s Service Relationship Management (SRM) modules
  • Excellent understanding of MS Office (including MS Excel advanced functions such as pivot tables, VLOOKUP’s, advanced formulas, MS Access, MS PowerPoint and PeopleSoft)
  • Carrying/Lifting up to 25 pounds
  • Validate condominium project data for accuracy and completeness
Data Analytics Senior Associate
11/2009 - 03/2016
Boston, MA
  • Create management reports to quantify Freddie Mac’s condominium exposure
  • Experience designing and developing highly efficient SAS code for use in automated data processing systems on UNIX based platforms
  • Supports the Customer 360° ‘C360°’ Governance structure (Stakeholder Management, Change Management, Issue Management, Continuous Improvement)
  • Spearhead business development efforts and serve as a technical project leader for new and existing projects
  • Lead client analytics projects and data mining and validation
  • Escalate and solve project risks and budget vulnerabilities on client projects
  • Practical work experience proven experience in a related consulting role
  • Strong leadership experience, written and verbal communication and presentation skills
  • Practical work experience with proven experience in a related consulting role
Data Analytics Senior Specialist
07/2003 - 08/2009
Philadelphia, PA
  • Use Tableau to create interactive web-based dashboards that elegantly illustrate the key business strengths and opportunities for various leaders across the organization
  • Combine enterprise and external datasets, and perform statistical analysis to inform senior leadership of progress on organizational goals
  • Train end users and provide support on translating data across key reports
  • Build key relationships within the organization to seek out, and deliver new reporting tools to equip leaders with the data needed to improve their efficiency and effectiveness
  • Train internal support team members on how to leverage Tableau for gathering key insights in their roles
  • Communicate and collaborate with the BAYADA Business Intelligence steering committee to ensure alignment to corporate standards
  • Experience working on data analysis projects
  • Strong working knowledge of Tableau visualization software

Education


Warren National University
1999 - 2003
Bachelor's Degree in Management Information Systems

Professional Skills


  • Strong understanding of procurement organization (including KPIs such as spend, time to create POs, headcount identification, Cost Savings, Diversity identification and reporting, etc)
  • Excellent interpersonal, oral and written communication skills with extensive experience in explaining complex technical concepts in simple terms
  • Compelling and persuasive communicator (verbal and written) with excellent interpersonal skills
  • Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries
  • Excellent critical thinking, analytical, logical, leadership, problem solving and interpersonal skills
  • Strong communication skills with the ability to collaborate with individuals with varying levels of technical abilities
  • Data modeling experience, with a combination of business and technical skills

How to write Data Analytics Senior Resume

Data Analytics Senior role is responsible for modeling, sql, python, security, finance, training, integration, database, analysis, reporting.
To write great resume for data analytics senior job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Data Analytics Senior Resume

The section contact information is important in your data analytics senior resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Data Analytics Senior Resume

The section work experience is an essential part of your data analytics senior resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data analytics senior responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data analytics senior position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Analytics Senior resume experience can include:

  • Demonstrate experience with improving team quality, efficiency and skillsets
  • Relevant experience and demonstrated accomplishment
  • Experience in data analytics or a strong interest in the fiefld
  • SAS/SQL skills; Exposure to BI and/or Data Preparation tools such as Tableau, Microstrategy, Alteryx, Python
  • Strong knowledge of and experience with the primary and/or secondary mortgage markets
  • Demonstrate experience with a range of languages / tools such as

Education on a Data Analytics Senior Resume

Make sure to make education a priority on your data analytics senior resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data analytics senior experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Data Analytics Senior Resume

When listing skills on your data analytics senior resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical data analytics senior skills:

  • Have experience in delivering business value by effectively using technologies
  • Strong programming skills in SAS, and/or R, and/or Python
  • Excellent communication,eollaboration and delegation skills
  • Excellent presentation and articulation skills to build proposals
  • Proven experience turning data analysis/modeling into direct business actions
  • Fluent in scripting and rapid prototyping skills

List of Typical Experience For a Data Analytics Senior Resume

1

Experience For Data Analytics Senior Associate Resume

  • SQL Expert with development experience and SQL optimization experience
  • Experience designing and developing highly complex SAS code for use in automated data processing systems on UNIX based platforms
  • Experience administering SAS and configuring SAS to work with multiple data sources and platforms (RDBMS, flat files, etc.)
  • Experience in using technologies for manipulating structured and unstructured big data (Hadoop, Hive, Pig, Spark, relational databases, NoSQL, etc.)
  • Experience designing and creating rich Dashboards
  • Experience working with DB2, Sybase, and Oracle databases as well as R and Python coding
  • Advanced knowledge and 5-7 years hands-on experience with data mining, analysis, Informatics data processing software and languages
  • Skilled in using Microstrategy data analytics and visualizations tools to retrieve, analyze, transform and report data is required
  • Previous work experience in data processing software and languages to include: Teradata Studio, Toad, SQL
2

Experience For Data Analytics Senior Manager Resume

  • Demonstrated ability to learn new technology and business data fast, juggle multiple work streams, and adapt to change
  • Interacting and communicating with business and technical personnel
  • Building partnerships with Business partners to develop technical solutions for reporting and analytic needs
  • Leading training sessions for business users
  • Assisting business areas with their information needs
  • Performing impact assessments, issue resolution and process improvements
3

Experience For Data Analytics Senior Specialist Resume

  • Leading efforts to reduce operational activities through automation or retirement based on value/impact of activities
  • Identify data anomalies as well as identifying trends and opportunities for improvement, providing recommendations to management and business partners
  • Solve for challenging data, reporting, and analytical needs from our users and business leaders
  • Manage incoming data files from internal and external
  • Utilize MicroStrategy, SQL, and Informatica, and new tools to build reporting and analytical solutions
4

Experience For Data Analytics Senior Analyst Resume

  • Comfortable developing in iterative cycles without specific written requirements
  • Conduct research and analysis to assist with mapping data sources for migration to strategic CCW asset
  • Document gaps with solutions while working with the delivery teams for closure
  • Knowledge of modern advanced statistical concepts required
  • Develop/Maintain internal databases and conduct routine maintenance as needed to ensure data integrity
  • Design, prototype, develop, test, and document existing/new ETLs, and related components; make recommendations for related functions that result in a more cost effective product delivery
5

Experience For Data Analytics Senior Manager / Director Resume

  • Execution of regular and ad hoc reporting and analysis
  • Analysis of data to provide actionable insights for the business
  • Extremally proficient with SQL
  • Analysis and resolution of data issues related to import of data files from third party vendor
  • Review of data changes made in MF data base to insure accuracy and completeness of documentation
  • Ensure deliverables are completed on time with complete and accurate information with limited oversight
  • Demonstrate excellent business analysis and communication skills including communicating to senior level executives producing executive level analytics, dashboards, and presentations
  • Hands on ability to work effectively with continuous change and short deadlines
6

Experience For Fso-data & Analytics Senior Intern Summer Resume

  • Work independently in a self-managed environment
  • Personality type who thrives in a team oriented and fast paced environment
  • Assess Data Quality and Data Integrity of Freddie Mac’s internal and external data. This involves both automated approaches as well as significant amount of manual validation of results
  • Develop codes to clean and analyze large, messy data sets of numerical and textual data
  • Create algorithms to answer questions, solve business problems and present it to management
  • Take a vision and drive it from concept to solution to user adoption to success
7

Experience For Resources Digital Data & Analytics Senior Manager Resume

  • Provide creativity and thought leadership
  • Learn new data and new technologies fast
  • Respond to adhoc reports or analysis requests
  • Serve as Product Owner or Project Manager
  • Serve as Subject Matter Expert liaison with our IT and other business partners
  • Assist with team operations
  • Expert with SQL and MicroStrategy required
8

Experience For Life Data & Analytics Senior Specialist Resume

  • Independently analyze data and produce accurate and user friendly visualizations
  • Experience developing analytic reporting solutions using business intelligence tools such as Tableau, Microstrategy, or comparable BI software
  • Knowledge of data analysis and/or ETL tools such as a SQL, SAS, Python, Informatica
  • Perform data discovery and find patterns and relationships in data
  • Anticipates and meets/exceeds the expectations and requirements of business partners
9

Experience For Data & Analytics Senior Manager Resume

  • Ensure quality and integrity of data collected, analyses performed
  • Define/design new CCW views as needed by the business and work with the delivery team
  • Experience applying a consultative and collaborative approach. Work experience & expertise with team input to influence business priorities and business actions for maximum strategic benefit
  • Strong project management skills and comfort in ability to create and achieve success by negotiating and problem-solving in complex organizations / highly matrix management environments
  • Work effectively and efficiently on multiple tasks and deadlines, while producing high quality results
  • Prepare detailed operational reports such as ad-hoc reporting, pilots, and tactically-oriented, daily-to-monthly reports
10

Experience For Data Analytics, Senior Analyst Resume

  • Identify data sources and data elements needed for new reports, and enhancements to existing reports, and appropriate data sources
  • Ensure quality and integrity of data collected, analyses performed, and reports generated
  • Strong business acumen that can be leveraged in order to discuss business objectives and technology as well as underlying data required to support product needs
  • Proven experience translating business needs into detailed capabilities and facilitate interpretation into practical applications and solutions
  • Proven experience with database/reporting tools (Cognos, Looker, Tableau, Excel, etc.)
  • Strong customer focus and management of stakeholder expectations
  • Perform opportunity analysis on existing products/populations to determine Cost drivers, TMC saving or improved customer satisfaction
  • Advanced knowledge and hands-on experience with data analysis using SQL/SAS to research, explore, manipulate and analyze data to understand end-to-end delivery within a reporting environment

List of Typical Skills For a Data Analytics Senior Resume

1

Skills For Data Analytics Senior Associate Resume

  • A team player with excellent interpersonal skills and agile ways of working
  • Good understanding of, and practical experience with, analytical techniques and tools for predictive analytics (SAS, Enterprise Miner, Modeler, R, Python)
  • Good understanding of, and practical experience with, analytical techniques and tools for predictive analytics (R, Python)
  • Exceptional quantitative and data analytics skills
  • Resolving issues and updating and validating data for adjustments used in Month end close process
  • Supporting and prioritizing multiple concurrent efforts in various capacities (lead one or more while supporting others)
  • Validating and testing data and reports submitted to regulatory bodies
  • Providing project support to evaluate and document business requirements, conduct User Acceptance Testing (UAT) and perform post production validations
  • Managing and prioritizing efforts to expand and enhance operational processes
2

Skills For Data Analytics Senior Manager Resume

  • Performing validation for accuracy and completion
  • Have experience using R, Python, or other scripting languages for data prep, analysis, and machine learning
  • Highly skilled in creating Sub-Queries and Joins for complex queries involving multiple tables and Exception Handlers
  • Experience in a client facing consulting role
  • Experience using SQL or other dat a querying languages for database and data structure analysis
  • Experience capturing and translating business requirements into technical solutions
3

Skills For Data Analytics Senior Specialist Resume

  • Demonstrated success at facilitating processes for complex issues and partnering cross-functionally
  • Demonstrated track record of being a team player and providing versatility and flexibility to a team
  • Experienced in interacting with external clients and offshore teams to facilitate project work
  • Experience with supervised and unsupervised machine learning algorithms and predictive models
  • Lean startup, human-centered design-thinking and agile experience
  • SAS or programming language experience
  • Highly skilled writing SAS code, as well as the SAS BI tools
4

Skills For Data Analytics Senior Analyst Resume

  • Highly skilled using Windows XP, UNIX, MS Office, Excel VBA, Access, Visio, SharePoint, RapidSql
  • Extensive experience with text analytics and records matching
  • Experience in open source programming languages for large scale data analysis is desirable
  • Deep experience with data analysis, financial management, data driven decision making
  • Experience with Idera ER/Studio Data Architect, Informatica, or other data modeling and data management tools
  • Experience and understanding of ETL tools
5

Skills For Data Analytics Senior Manager / Director Resume

  • Strong understanding of multidimensional data and integration of disparate data
  • Have experience with Big Data concepts including Data Virtualization, Data Lake, etc
  • Have experience with other analytics capabilities including Operational Data Stores, Business Intelligence products, and/or Data Warehouses
  • Have Change Management experience including the ability to drive & manage projects from conceptual definition through to execution/launch
  • Have a good understanding of financial services and/or mortgage data
  • Experience writing big data technologies Hadoop, Hive HQL
  • Experience working with Tableau or any data visualization
  • Accounting/finance experience
  • A demonstrated track record in successfully bridging the gap between technology & business teams and stakeholders
6

Skills For Fso-data & Analytics Senior Intern Summer Resume

  • Demonstrated deep expertise in one or more of the following areas
  • Demonstrated record of successfully taking on more responsibility with positive results and ambition to grow past current position
  • Experience with SQL and understanding of data models
  • Identifies and prioritizes system defects and ensures resolution
  • Business experience
  • Proven track record of relevant projects
  • Experience in the development of Physical and Logical Data Models
  • Experience with ParAccel/Enclave Matrix
  • Typically has 5 – 7 years of experience
7

Skills For Resources Digital Data & Analytics Senior Manager Resume

  • Experience with Python and Informatica
  • Strong customer focus with the ability to work with technical teams, business users, and senior executives
  • Experience with metadata management techniques
  • Experience with relational database structures, dimensional models, ETL and Big Data technologies
  • Experience working with different Databases and understanding of data warehousing concepts
  • Experience in relational database structures, research methods, data quality analysis, statistical sampling techniques and reporting
  • Experience in designing and developing tableau analytics
  • Experience in using and interacting with Tableau Server
  • Experience with creating data architectures for highly complex business domains
8

Skills For Life Data & Analytics Senior Specialist Resume

  • Experience with event-driven and message-based technical design patterns
  • Proven ability to deliver information products that are wanted and valued by clients/customers to help solve real-world business problems and challenges
  • Related work experience
  • Experience as a Tableau sever administrator
  • Experience with finance analytics, especially data science metrics
  • Experience with Healthcare / Biotechnology / Pharmaceutical Industry
  • Experience with database, data model and data warehouse concepts
  • Strong ability to plan and manage numerous processes, people and projects simultaneously
9

Skills For Data & Analytics Senior Manager Resume

  • Understand business processes and develop analytics that mitigate financial statement risks and test the effectiveness of controls
  • Strong knowledge of audit processes and internal controls
  • Analytics experience
  • Tableau Storyboard experience
  • Lead product backlog grooming sessions to share vision, prioritize user stories, review design recommendations from IT
  • Us data and analytics to measure the effectiveness of the eSafe environment and capabilities
  • Analyzing, designing, developing and executing analytical and reporting activities
  • Meeting facilitation including agendas, meeting minute preparation, and meeting presentation development with internal and external stakeholders
10

Skills For Data Analytics, Senior Analyst Resume

  • Designing and developing dashboards, visualisations and metrics to improve understanding of business processes and potential weaknesses
  • Identifying opportunities to enhance and automate reporting for our clients therefore providing them with great service delivery
  • Working knowledge of the process flows, underlying data structures and configuration of major ERP systems (e.g. Oracle, SAP, Peoplesoft, Dynamics)
  • Being a driving force in Freddie Mac’s data journey
  • Taking action and being organized
  • Working knowledge of Commercial Mortgage Lending
  • Maintaining and enhancing dashboards based on client requests and statutory changes

List of Typical Responsibilities For a Data Analytics Senior Resume

1

Responsibilities For Data Analytics Senior Associate Resume

  • Leadership competencies with the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically
  • Liaising with the EY onsite client team to report progress and manage risks and issues
  • Learning how data is crucial to the success of any business initiative
  • Understanding the interactivity of the Loan Advisor Suite
  • Operating as a bridge between business and technology teams
  • Finding the most best way to get a transactional or analytical consumer access to the right data
  • Willing to try new ways to solve old problems
2

Responsibilities For Data Analytics Senior Manager Resume

  • Understanding relevant Financial Services regulation
  • Have a passion for mining data, turning data into insights, and making an impact through rigorous analysis, creative storytelling and timely actions
  • Expertise in writing complex SQL queries, proficient in SQL Server and T-SQL (DDL and DML) in constructing Tables, Normalization techniques on database Tables
  • Responsible for a range of tools to load, manipulate and analyse data following leading standards for data security and privacy
  • Partnership – Listen, compromise, and show respect when working and communicating with others
  • Leverage a variety of Business Intelligent tools to create self-service and ad hoc reports for ongoing monitoring and one time requests
3

Responsibilities For Data Analytics Senior Specialist Resume

  • Develop recommendations and supporting justification to support firm strategy ad decision making
  • Participate in the development of new offerings and innovation using RPA and presenting RPA implementation strategies across a wide spectrum of audiences
  • Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
  • Responsible for the data mining, manipulation, and support of new product Analytical Reports
  • Assists business analysts with finding relationships in data
4

Responsibilities For Data Analytics Senior Analyst Resume

  • Proficient in working with large-scale business data sets
  • The ability to quickly pivot to more promising approaches/alternatives, as appropriate
  • Development, implementation and maintenance of monthly reporting cycles so that the dashboards and other reports that EY produce are accurate and on time
  • Develop innovative solutions tailoring our insights and solutions to the relevant industry sector such as Health
  • Assess financial, accounting, and operational controllership for both risks and opportunities
5

Responsibilities For Data Analytics Senior Manager / Director Resume

  • Guide the customer on the best way to answer their business questions using data
  • Use data visualization and storytelling to communicate key insights
  • Collaborate with team (including IT partners) to identify and mitigate risks, issues, impediments
  • Perform complex technical tasks such as calculations, data evaluations/analysis, and contributing to reports and insights
  • Develop models, statistical analyses, forecasts and other quantitative analyses to support executive decision-making
  • Candidates can be considered at the Specialist or the Senior Specialist level, depending upon qualifications
6

Responsibilities For Fso-data & Analytics Senior Intern Summer Resume

  • Familiar with data sourcing, data capture, data transformation and data preparation techniques
  • Familiar with data sourcing, data transformation, data preparation and data visualization techniques
  • Natural language processing, natural language generation, conversational AI algorithms, computer vision approaches and tools
  • Daily communications with internal and external leadership
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
  • Design and build technical processes to address business issues
7

Responsibilities For Resources Digital Data & Analytics Senior Manager Resume

  • Use appropriate data analytic and statistical tools and techniques to analyze a variety of data sources
  • Responsible to ensure that adequate checks and balances have been implemented to ensure accuracy of reports
  • Familiarity with Condominium Project Eligibility and Project Review requirements
  • Proficiency in VBA, Business Objects, SAS and SQL
  • High proficiency with Microsoft Excel and VBA
  • Proficient in other Microsoft Office products: Word, Access, PowerPoint and Project
  • Use various data analysis techniques to create conceptual and logical model representations of business data and related business behaviors
  • Draft data requirements, to capture needs of business customers
  • Familiarity with MISMO model and specifications
8

Responsibilities For Life Data & Analytics Senior Specialist Resume

  • Familiarity with Uniform Mortgage Data Program (UMDP)
  • MS or above in a technical or information analytical field, such as Data Analytics, Data Science, Information Management, Computer Science, Engineering, or Information Systems
  • Expertise in technologies such as SAS, R, Python, as well as SQL, Java, and/or BI tools such as Hyperion, MicroStrategy and Tableau
  • The ability to solve complex problems in an environment with high uncertainty
  • The ability to partner across organizations to deliver
  • Passion for communications excellence
  • Develop mutually beneficial relationships inside and outside of Single-Family
  • Proficiency with database technologies like SQL
  • Is creative, tenacious, and resourceful in problem-solving. Can offer multiple approaches and appropriately execute the right level of detail and granularity for the problem at hand
9

Responsibilities For Data & Analytics Senior Manager Resume

  • Able to work in matrixed teams, across geographic and functional reporting lines
  • Able to own and strengthen relationships with key stakeholders
  • Love data and be people oriented, creative, and flexible
  • Worked in the business area or closely/directly with business are to gather business requirements/rules logic and develop code
  • Knowledge of Software Development Life Cycle methodologies working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems and cloud-based data sources
  • Experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
10

Responsibilities For Data Analytics, Senior Analyst Resume

  • Experience working with and creating databases and dashboards using all relevant data to inform decisions
  • Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc
  • Drive for Execution- Focus on reults rather than the appearance of results
  • Customer Focus - Personally engage with customers to learn their needs and seek and use data and feedback to enhance customer outcomes
  • Customer Focus- Personally engage with customers to learn and deliver on their needs
  • Flexible and versatile to adopt to business needs
  • Perform data analysis/data exploration to support the development of analytics

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