Principal Data Analyst Resume Sample

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Gideon Bogisich
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Work Experience


Principal Data Analyst
05/2016 - PRESENT
Houston, TX
  • Responsible and accountable for all GDG activities associated with data analysis, data mapping and validation with business and technology partners within a single domain
  • Serves as a key coordination point to manage the exchange of critical information and decisions between business owners and System technology staff
  • Work closely with business unit to understand business data needs and requirements for reporting and data modeling
  • Work closely with ETL Developers and BI Developers to ensure ETL and reporting needs are met by development
  • Serves as subject matter expert on data sources and targets within a domain
  • Accountable to document data specifications describing solutions to achieve information requirements
  • Review and approve GDG recommendations regarding data profiling of source content including source system analysis
  • Analyze and make recommendations regarding business problems using root cause analysis, hypothesis generation, survey design, benchmarking, and other qualitative and quantitative methods
  • Accountable for the gathering and validation of business metadata, clarifying and maintaining metadata and capturing data retention and security requirements, as needed, at the element level
Principal Data Analyst / Modeler
10/2009 - 02/2016
Philadelphia, PA
  • Hands on expertise with the Informatica Metadata Manager Tool is required
  • Write precise and detailed requirements for complex data sets from IT for use in analysis
  • Lead analysis efforts around complex data sets to determine key drivers related to customer churn, revenue and/or upsell opportunities
  • Identify opportunities and emerging trends and make recommendations for marketing campaigns based analysis results
  • Work with campaign managers to develop requirements for reporting and analysis on campaigns under development
  • Package results of analysis into professional presentations for communication to peers, superiors and executive levels of the organization
  • Work with Finance to provide data needed to support business cases
  • Create and publish professional level dashboards to share results across the organization
  • Work individually and with a team in recommending action, schedule and plan projects, and manage projects to completion
Senior Principal Data Analyst
10/2003 - 04/2009
Los Angeles, CA
  • Responsible for defining the short-term (six to twelve months) direction of the project/program in support of departmental and organizational goals
  • Assist the Data governance manager with the implementation and oversight of company’s policies, standards, practices and technologies related to data management
  • Implement ACI’s strategic vision around Enterprise Information Model/Framework
  • Develop an understanding of the ACI’s existing Data components and future technical and stakeholder product requirements
  • Assist to implement ACI’s strategic vision around Enterprise Information Model/Framework
  • Knowledge of server hardware platforms and virtualization architecture (vCenter/vSphere)
  • Maintain Netapp storage platforms and file shares
  • Knowledge of current operating systems, such as Windows Server 2008 R2 and 2012 R2
  • Maintain Active Directory Security Groups, cleanups, test and audits

Education


Strayer University - Tampa Westshore Campus
1999 - 2003
Engineer's Degree in Business

Professional Skills


  • Excellent problem solving, oral and written communication skills, customer oriented and organizational skills
  • Strong, proven programming skills in such as: Python, C++, R , MATLAB, Scala, etc
  • Excellent communication skills, both verbal and written, and outstanding attention to detail.
  • Excellent critical thinking skills as well as good common sense
  • Strong skills with database query and analysis languages (e.g. SQI, R, SAS, Python) and data visualization tools (e.g. Tableau, D3)
  • Demonstrated experience in influencing teams during the design, conduct, and completion of trials
  • Demonstrate experience and understanding of Machine Learning, e.g.: linear/logistics regression, random forest, SVM, neural networks, etc

How to write Principal Data Analyst Resume

Principal Data Analyst role is responsible for visualization, research, analysis, database, training, languages, advanced, integration, finance, security.
To write great resume for principal data analyst job, your resume must include:

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

Contact Information For Principal Data Analyst Resume

The section contact information is important in your principal data analyst 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 Principal Data Analyst Resume

The section work experience is an essential part of your principal data analyst 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 principal data analyst responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular principal data analyst position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Principal Data Analyst resume experience can include:

  • Strong experience with ETL development and database/SQL development/tuning, in particular for Oracle
  • Knowledge and skills in the use of current state of the art machine learning frameworks such as Spark MLlib , Scikit-Learn and TensorFlow
  • Hand on analytics experience with proven quantitative orientation
  • Advanced Excel and PowerPoint skills, familiarity with Power BI
  • Participate in client discussions and effectively represent subject expertise
  • Advanced analytical skills and the ability to process research information for easier consumption and transform it into actionable plans

Education on a Principal Data Analyst Resume

Make sure to make education a priority on your principal data analyst resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your principal data analyst 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 Principal Data Analyst Resume

When listing skills on your principal data analyst 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 principal data analyst skills:

  • Excellent analytical, problem solving and prioritization skills
  • Strong interpersonal and communication skills are essential as is a willingness to collaborate with team members and customers
  • Excellent business partnering and communication skills
  • Establish and maintain strong internal and external relationships to effectively execute responsibilities
  • Proven success delivering an accessible and intuitive product to customers whom don’t have engineering software experience
  • Advanced data analysis skills in areas such as data quality and profiling

List of Typical Experience For a Principal Data Analyst Resume

1

Experience For Principal Data Analyst / Modeler Resume

  • Strong programming experience in data analytics or statistical software
  • Experience acquiring, analyzing, preparing and provisioning HealthCare claim data
  • Experience in querying and analyzing and working with data languages and platforms
  • Experience working BI reporting tools (i.e. Tableau and Business Objects)
  • Experience designing systems and creating system specifications
  • Hands on experience in working with large data sets and distributed computing (Hadoop & Cloud)
2

Experience For Principal Data Analyst / Profiler Resume

  • Experience with Financial Services, e-Banking, international and domestic payments, check and deposit processing
  • 10+years of application development and/or engineering experience
  • 10+years of development experience in Python and/or Ruby using object oriented patterns
  • Experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
  • Experience working with Agile development methodologies
  • Experience with analytical and financial modeling
3

Experience For Senior Principal Data Analyst Resume

  • Experience working as a consultant greatly valued
  • Experience working with Agile development methodologies
  • Experience working in a compliance function and/or within a regulatory environment
  • Experience working with databases like Oracle, MySQL, MS SQL Server or related technologies
  • 5+ experience working as a Business Analyst
4

Experience For Principal Data Analyst Resume

  • Experience with data profiling tools and data visualization tools
  • Experience working with Rules engine & APIs
  • Data mining experience 5+ years’ in a data analyst role
  • Experience in data modeling and ETL development
  • Deliver cost effective, accurate, photo-realistic, interactive models of the Company’s U.S. assets by leveraging UAS-collected data
  • Mentoring others and understanding how their expertise and teams can be leveraged across multiple initiatives
  • Willing and able to travel up to 25% of the time, often with international assignments, or what is necessary to meet client needs
5

Experience For Principal Data Analyst / Modeler Resume

  • Understanding of business and IT concepts and ability to identify the impact of business changes on systems
  • Be responsible for collecting, analyzing, creating visualizations, and storytelling using web traffic data through the application of data science techniques
  • Perform complex data mining using predictive analytical modeling techniques and provide systems-related recommendation for streamlining the program
  • Constructs data pipelines to satisfy downstream modelling needs using a variety of feature engineering techniques, including graphical tools where appropriate
  • Performs advanced data warehousing – including Dimensional Modeling/OLTP Database administration
  • Build metrics to measure key inputs and output measurement; defining KPIs and automating reporting and data visualization
6

Experience For Principal Data Analyst / Profiler Resume

  • Proficiency combining data from multiple sources when needed for analysis. Proficiency writing functional/mapping specifications for extracts and reports
  • Sound understanding of data modeling, data quality and data profiling
  • Advanced working knowledge of large data manipulation and data mining using SQL
  • Proficient in programming in Python on Spark (PySpark) and in optimizing and troubleshooting Spark jobs
  • Expertise in machine learning and deep learning and Big data frameworks including TensorFlow, Keras, Caffe, MXNet, Spark, Hadoop
7

Experience For Senior Principal Data Analyst Resume

  • Delivering and implementing technology based business intelligence solutions using tools such as Tableau, SQL, SAS Software etc
  • Creates complex or large logical data models, including metadata and business rules, covering multiple subject areas
  • Work with Data Science and Data Engineering resources to develop requirements for data, reporting, views, tools
  • Design and build new data set processes for modeling, data mining, and production purposes
  • Performs machine learning and statistical analysis methods such as regression, classification, clustering and time-series analysis
  • Primary point of contact for Optum Technology and Analytic Visualization and Reporting Capability (AVRC) data teams for questions regarding Optum clinical data
  • Working on Data Management teams working on implementations and governance (quality, metadata, security, lineage, etc.)
  • Developing holistic data strategies with business and IT partners that address a business vision around using data to grow the business
8

Experience For Principal Data Analyst Resume

  • Knowledge of Statistics and Data Mining/ Machine Learning concepts
  • Develop requested reports/ data using Tableau, SQL, and other BI or data mining tools
  • Mentors and provides guidance and training to team members
  • Holds tactical responsibility for completion and implementation of multiple major initiatives according to on-time and on-budget project goals
  • Partner with specific functions / domains of the Office Business, Engineering, and Finance
9

Experience For Principal Data Analyst / Modeler Resume

  • Presents solutions to project teams, Data Engineering team, and architecture review boards
  • Integrates data into existing enterprise logical model and physical data stores to avoid data redundancy
  • Uses modeling tool to capture clear definitions of data elements and produce code to effect database changes
  • Maintain relationships with and provide reporting & analytical support to business units and support cross-functional projects
  • Provide advanced data management support, including creation of complex macros, graphs, and output
  • Interpret statistical analyses and help client shift from an ad hoc analysis to an ongoing informed conclusions and recommendations
  • Uses the Big Data software ecosystem to implement machine learning algorithms and statistical analyses at scale
  • Provide expert consultation and guidance in Optum clinical data architecture, data flow and measures represented in HPM and client reporting
  • Investigate data anomalies and facilitate resolution within HPM as well as upstream OptumHealth data repositories as they impact HPM and client reporting
10

Experience For Principal Data Analyst / Profiler Resume

  • Coordinate and actively participate in user testing of HPM releases
  • Set strategy and architect solutions with clients/partners to achieve data goals for acquiring data access and source expertise
  • Lead a cloud-based architecture including logical data model to enable future state analytics capabilities
  • Partner with technology teams to physicalize data models and drive insight real-time into agent and customer facing production systems
  • Work closely with project implementation teams in implementing the MVP to a real-world use case

List of Typical Skills For a Principal Data Analyst Resume

1

Skills For Principal Data Analyst / Modeler Resume

  • Data visualization skills and the ability to present technical solutions to a non-technical audience
  • Strong attention to detail with ability to manage competing priorities
  • Experience using statistical programming languages, machine learning and other toolkits and techniques for analyzing large, complex datasets
  • Demonstrable experience in developing, publishing, and maintaining all documentation for data models
  • Experience developing analytical solutions using statistical methods and machine learning algorithms
  • Experience managing / leading / and/or mentoring a team
  • Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
2

Skills For Principal Data Analyst / Profiler Resume

  • Experience /Exposure to predictive modelling - Machine Learning , Deep Learning
  • Experience with debugging and writing javascript in page, and adding events
  • Experience working with project managers to deliver projects involving and affecting multiple business units
  • Experience in building ETL code for Data Quality/ Profiling
  • Demonstrable experience using data modeling tools - e.g., ErWin, ER Studio etc
  • Experience with data wrangling, data cleaning and preparation, dimensionality reduction
  • Experience querying data from relational databases using SQL to identify data relationships
  • Hands on experience building models with deep learning frameworks like Tensorflow or similar
3

Skills For Senior Principal Data Analyst Resume

  • Experience transferring data from 3D Modeling Software or comparable relevant projects required
  • Experience required in related field (i.e. Engineering, Statistics, Information Sciences, Machine Learning, AI, NLP, etc.)
  • Experience working with leading cloud vendors analytics framework (Google, Microsoft or Amazon)
  • Experience with writing complex programs and implementing custom algorithms in these and other environments
  • Experience using cloud computing to build analytics applications and AI/ML enterprise level solutions
  • Support more junior members of the marketing team through their experience with custom reporting needs
  • One year of experience working with distributed computing tools
  • Provide assistance in managing and prioritizing defect backlog for HPM
4

Skills For Principal Data Analyst Resume

  • Experience using Oracle MDM and Data Quality tools
  • Experience of Data Quality and Data Matching Rules
  • Performance Tuning or DBA experience
  • Experience using data governance tools
  • Experience in partnering with a diverse team in multiple locations
  • Banking Application experience BSA/AML/Sanctions/Fraud
  • Experience with working with managed care enrollment and claims data
  • Experience with working with EHR data
5

Skills For Principal Data Analyst / Modeler Resume

  • Four years relevant UAS, GIS, modeling, application design, or other quantitative industry experience required
  • Direct experience working with Health Plan Manager to deliver client presentations
  • Data analyses or programming experience
  • Data Analytics experience using SQL
  • Proven capability in demonstrating successful advanced research and technology solutions
  • Hands-on experience managing internal and external DNS for multiple domains
  • Establish effective working relationships with all levels of staff and vendors
  • Hands on experience with technical development and support for Oracle MDM and EDQ technologies
6

Skills For Principal Data Analyst / Profiler Resume

  • Demonstrable experience in Big Data Technologies and Information Architecture
  • Strong Ability to successfully work in a multi-discipline, cross-functional environment and manage teams from various functions and locations
  • Identify and consult on high complexity data structure and/or data content issues; design effective data solutions
  • Experience working with Tableau Microsoft SQL Server Database
  • Experience with Big Data concepts, tools, and architecture (e.g. PySpark, Hive, Pig)
  • Experience with cloud based Big Data technologies
  • Experience with SQL, SAS, R, Python and/or other statistical programs
  • Demonstrated ability to think strategically with appropriate level of detail analysis to plan and execute
7

Skills For Senior Principal Data Analyst Resume

  • Experience with point cloud manipulation, CAD, third-party GIS, or photogrammetry software required
  • Experience with star schema data models
  • Experience with Healthcare Analytics knowledge
  • Experience in data management and data analysis
  • Experience in healthcare industry
  • Hands-on experience with Enterprise backup
8

Skills For Principal Data Analyst Resume

  • Relevant data analysis experience
  • Strong aesthetic sensibility that supports clear visual communication of quantitative information
  • Researches effective data designs
  • Ensures all technical database decisions result in coherent system designs which use the most effective methods and tools
  • Demonstrated ability to recommend innovative BI solutions to support complex business requirements
9

Skills For Principal Data Analyst / Modeler Resume

  • Working with a wide array of audiences (Engineering, Marketing, Finance, Sales) and working in a consultative manner to provide insights and clear actions
  • Managing and designing the reporting environment, including data sources, security, and metadata
  • Supporting the Big Data development team in identifying and revising reporting requirements
  • Mapping of different sources, managing master data, including creation, updates, and deletion
  • Providing technical expertise on data storage structures, data mining, and data cleansing
  • Working very closely with Architecture group and driving technical solutions towards providing data products for business teams
10

Skills For Principal Data Analyst / Profiler Resume

  • Interpreting data, analyzing results using statistical techniques
  • Providing clear data/reporting to determine the current performance and future outlooks for our scorecard metrics
  • Working knowledge of Natural Language Processing
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Scoping of analytics and data science opportunities for the analyst and data science teams
  • Helping develop reports and analysis
  • Supporting initiatives for data integrity and normalization
  • Training end users on new reports and dashboards

List of Typical Responsibilities For a Principal Data Analyst Resume

1

Responsibilities For Principal Data Analyst / Modeler Resume

  • Recommend methods to collect, analyse and manage data to improve data quality and effectiveness of data systems
  • Design and validate data collection instruments
  • Five years of IT systems experience
  • Lead by example, demonstrating best practices for performance testing, capacity planning, documentation, monitoring, alerting and incident response
  • Enable data-driven decision-making by collecting, transforming and visualizing data
  • Work with EDs and VPs in developing, evaluating, improving, and handing off solutions to stakeholder teams as needed
  • Gather reporting and analysis requirements and translate into data model; identifying the most suitable storage and processing architecture
  • Build/design dashboards to enable ongoing monitoring of business health
  • Work in a team environment that promotes collaboration and succeed in a matrix structure by influencing new thinking
2

Responsibilities For Principal Data Analyst / Profiler Resume

  • Develop queries and dashboards for logging and analytics for facilitating teams across the eco-system
  • Provide analytical support to various departments within the organization including formulating metrics and quality targets
  • Display a record of self-motivated discovery, intense intellectual curiosity, and a passion for working with data to answer important questions
  • Set challenging objectives and works against self-defined standards of excellence to continually improve personal performance
  • Key partner to other data teams within CSEO and across Microsoft in scoping joint problems and opportunities
  • Advanced working knowledge of large data manipulation
3

Responsibilities For Senior Principal Data Analyst Resume

  • Work closely with our business partners to ensure reporting/ data meets or exceeds requirements
  • Design and develop real-time analytics solutions using industry standard technologies
  • Look at opportunities to optimize logging to optimize costs and provide value
  • Design, build and administer AWS environment
  • Configure, deploy workstation startup scripts and GPO
  • Deal responsibly with sensitive and confidential information in a discreet and secure manner
4

Responsibilities For Principal Data Analyst Resume

  • Hands-on administration of VMWare environment
  • Hands-on management of Windows Servers and Active Directory
  • Torage administration preferably Netapp
  • Ability and willingness to be part of an on-call rotation is required
  • Work with diverse data types from many millions of web traffic calls in acute and non-acute settings
  • Interact comfortably and independently with marketing and business unit leaders, subject matter experts, and other data engineers, as they evaluate new measures, identify impactful findings in our large ecommerce and web data stores, and design novel and strong data visualizations communicating key information across the organization
  • Ensure that all work produced by the marketing analytics team is conducted with thoughtful analytical discipline
5

Responsibilities For Principal Data Analyst / Modeler Resume

  • Manage and maintain integrations with Tealium tag manager/UDH, Google tag manager, Marketo, and other MarTech integrations
  • Work independently on projects or assignments without close supervision or detailed instructions
  • Assesses all project information requirements and impact to the database/file and technology platform
  • Provides technical leadership for execution of data analysis and evaluation of data models on large and complex projects
  • Identifies opportunities to use and enhance the enterprise data model
  • Assesses data design recommendations made by other analysts and recommends data design changes to complex, interrelated data designs to achieve complicated requirements and improve performance
  • Creates first cut physical design from logical data model
6

Responsibilities For Principal Data Analyst / Profiler Resume

  • Assists in definition of data governance model to operationalize data standards
  • Assesses objectives, use cases, information requirements, and data specifications
  • Monitors the quality and progress of the data model and business rules documents created by other analysts
  • Establishes full project life cycle plans for complex projects
  • Resolves project data issues and data issues that span subsystems
  • Directs most complex and creative cross-functional assignments and multiple phases of a projects
7

Responsibilities For Senior Principal Data Analyst Resume

  • Defines data analysis strategy for multi-phase projects across multiple, interrelated systems
  • Work with these stakeholders to define clear signals of success, which translate into simple, easily understood metrics
  • Develop roadmap of data-based capabilities and tools to meet vision of scenarios
  • Lead deep dives and analyses into metric performance and special projects
  • Own rhythm of business (RoB) for data driven meetings (MBRs, Scorecard Reviews, etc). This includes trend analysis, variance analysis, commentary development, findings, insights and working with stakeholders to articulate what actions are being taken on each scenario to drive or improve performance
8

Responsibilities For Principal Data Analyst Resume

  • Create forecasts using basic tools that can be supplemented with learnings from our partner data science team
  • Lead analyst resources -set direction, scope work, provide support and grow talent
  • Synthesize complex company wide data issues for internal teams, partner teams and execs
  • Provide actionable insights on drive digital transformation
  • Connect findings and recommendations to business initiatives
  • Manage and run a team of analyst FTEs and/or vendors
  • Be self-driven, and show ability to deliver on ambiguous projects
9

Responsibilities For Principal Data Analyst / Modeler Resume

  • Engage with stakeholders and partners to execute the vision for meeting the organization’s needs for business intelligence, situational awareness, and rapid response
  • Collaborate with partners in Enterprise Data Warehouse to help ensure data quality
  • Manage and advance a portfolio of standard operational and management reports and dashboards to help "tell the story"
  • Monitor technology and industry trends for new business intelligence opportunities
  • Continuously improve business intelligence/ reporting processes, procedures and workflow. This includes the creation and continuous maintenance of key mapping/ reference/ lookup tables
  • Trends data and designs data analysis strategies to identify potential opportunities for quality & performance enhancements for My Cloud eco system
10

Responsibilities For Principal Data Analyst / Profiler Resume

  • Have the mindset to proactively look for issues and address them with teams for better Quality of Service
  • Consults with businesses to resolve complex data issues
  • Analyze enterprise data warehouse and business intelligence systems to identify and document complex data mappings (ETL), relations, business rules, as well as functional and non-functional requirements
  • Analyze and resolve data quality problems through appropriate process design strategies, including error detection and proposing error correction procedures, using automation wherever possible
  • Support the sales / pre-sales process by ensuring data meets the client needs and analysing development requirements from potential new sales prospects
  • Utilize programming and analytical tools including SAS, SQL, Netezza or similar relational database tools
  • Support the Development Team during the software build process (consultancy, requirements definition, design, documentation, review, etc.)
  • Data profiling and provide quality assurance of imported data
  • Act as primary point of contact working with stakeholders to understand systems, processes and business needs. Work as a trusted advisor to identify opportunities for new insights, analytics, and reporting solutions

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