Data Analytics Associate Resume Sample
Mafalda Terry
445 Bradtke Roads,
Dallas,
TX
+1 (555) 677 5656
Work Experience
Data Analytics Associate
02/2016
-
PRESENT
New York, NY
- The ability to make an impact on the firm’s day-to-day decision-making
- Analyzes large amounts of data using pivot tables to create daily, weekly and monthly reports
- Monitors inquiries from other areas, tracks progress and resolution of escalated inquiries
- Primarily responsible for the development and maintenance of our worldwide data analytic activities to be performed from the Salt Lake City General Office
- Extract, verify, clean, and analyze various forms of data from multiple software and accounting systems
- Assist in assessing and recommending technology-based solutions to perform risk profiling and exception reporting
- Evaluate and confirm accuracy, completeness, and usefulness of several data types
- Build data warehouses to store and clean data obtained from several countries
- Develop or improve existing analytic procedures and visualization tools potentially for executive management
Data & Analytics Associate
06/2010
-
10/2015
Boston, MA
- Provide insight in identifying business risks, control weaknesses, and recommendations for improvement in processes
- Receive performance feedback from supervisors, meet deadlines, and deliver to expectations for each project
- Develop & run queries in SAP BW to gather and store large volumes of data
- Developing analytical models for analyzing data, providing insights and recommending actions to improve sales and profits
- Building reports and integrate predictive models into analytics tools
- Creating powerful visualizations of the gained insights to convince all levels of management
- Support, test, and implement new solutions and provide basic training for new customers
RMD, Rmam, Data Analytics, Associate
02/2008
-
05/2010
New York, NY
- Evaluation of local process changes and align internally
- Executes tests ensuring IT changes of business processes do not affect existing reporting
- Creating interactive and intuitive user interfaces to collect from and distribute information to the internal audience
- Digitalizing / automating processes to improve efficiency and quality
- Align internally the reporting needs, KPI’s and requirements
- Provides 1st level support to the department (supporting end users in case of questions and errors)
- Lead IT support activities (documentation of local requirements, trainings, tests)
- Find, investigate, and map out strategies to correct data quality issues that impact any of numerous DEERS business areas, particularly military healthcare benefits & eligibility, patient registry and duplicate identities resolution
Education
California State University Channel Islands
2003 - 2008
Bachelor's Degree in Computer Science
Professional Skills
- Great problem solving and multi-tasking skills with strong sense of urgency
- Excellent communication skills, both verbal & writing
- Excellent verbal and written communication skills to work with all levels of management
- Business acumen with strong statistical, analytical and mathematical skills
- Excellent communication skills, from a strategic approach
- Strong critical thinking skills and the ability to
- Demonstrated applied technical skills in SQL, Python, R, Linux
How to write Data Analytics Associate Resume
Data Analytics Associate role is responsible for modeling, database, java, finance, integration, compensation, accounting, reporting, design, research.
To write great resume for data analytics associate job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Analytics Associate Resume
The section contact information is important in your data analytics associate 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
- Telephone number
Work Experience in Your Data Analytics Associate Resume
The section work experience is an essential part of your data analytics associate 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 associate 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 associate position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Analytics Associate resume experience can include:
- Creativity in solving complex problems, with a constant desire to learn new skills and technologies
- In-depth experience with data analysis and evaluation using Advanced Excel knowledge and other statistical tools (R studio)
- PL/SQL (or T-SQL) or experience with other procedural programming language
- Tasks and time management skill
- Experience working with large data volumes to identify patterns and trends
- Strong quantitative background e.g.
Education on a Data Analytics Associate Resume
Make sure to make education a priority on your data analytics associate 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 associate 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 Associate Resume
When listing skills on your data analytics associate 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 associate skills:
- Strong problem solving ability, programming skills and project management skills
- Solid PC skills, including Microsoft Windows and Office applications, especially Excel, Word and PowerPoint
- Solid organizational skills and ability to work under time pressures
- Excellent communication and presentation skills with the ability to convey complex concepts simply and clearly
- Experience with using available evidence and resources to make decisions
- Communicate effectively with the project manager and team regarding the progress of the project
List of Typical Experience For a Data Analytics Associate Resume
1
Experience For Data & Analytics Associate Resume
- Hands on experience with current technology (Python, R, SQL) and statistical methods
- Identify complex job matching and data issues and proactively consulting with clients and key team members to determine appropriate course of action
- Understand theory and application of current and emerging statistical methods and tools
- Create analytical reports and metrics on data quality issues, duplication/overlay of records, root cause and remediation plans
- Position demands active, continuous collaboration and learning about the business rules underlying the many lines of business, as well as the variety of data stores, data sources, applications and tiers that make up the DEERS architecture. Willing to constantly seek out this knowledge from other senior staff in the course of day to day work
- Partner with the client relationship management teams to advance Aladdin’s analytical capabilities in new and innovative ways
- Leverage a deep knowledge of institutional clients and BlackRock products to lead and deliver on client-focused solutions in Aladdin
2
Experience For Data Analytics, Associate / Senior Associate Resume
- Apply technology to draw insights from data and analytics
- Develop new sales enablement capabilities and light applications
- Independently manage projects across multiple internal teams and regions
- Investigate and resolve discrepancies in data and data integrity issues to provide accurate results to client
- Conduct research to understand industry and organization-specific issues, including business strategy and financial information, compensation and rewards, and corporate performance
- Conduct compensation peer group selection, survey analyses, interpreting salary data, financial modeling and special research projects, and occasionally performing regression analysis on compensation data
3
Experience For RMD, Rmam, Data Analytics, Associate Resume
- Effectively keep the project manager apprised of project status, including delays or potential problems; holding self and team members accountable for client deadlines and deliverables
- Find, investigate, and map out strategies to correct data quality issues that impact any of numerous DEERS business areas, particularly military healthcare benefits & eligibility and duplicate identities resolution
- SQL query optimization
- Proficient in Exel
List of Typical Skills For a Data Analytics Associate Resume
1
Skills For Data & Analytics Associate Resume
- German, Portuguese, Chinese, Italian, Spanish or other language skills
- Proven experience as a Data Scientist / Data Analyst
- Experience with automation (e.g., scheduling, VBA/Power Shell scripting, loops, querying and aggregating information, matching, filtering, etc.)
- Experience with using reporting tools, detecting and reporting data anomalies
- Experience with the following tools: Microsoft SQL Server; SSIS; SSRS; Power BI
2
Skills For Data Analytics, Associate / Senior Associate Resume
- Experience working in SQL Server, Oracle or Teradata environments
- Demonstrates initiative by being self-motived and disciplined
- Experience working in an Internal Audit department
- Hands on programming experience in R, VBA, SQL, Python, C## or business intelligence tools like Tableau required
- Practical experience in the performance of quantitative analysis or data analytics for AML transaction monitoring
- Experience with machine learning techniques, experimental design, and large data sets
3
Skills For RMD, Rmam, Data Analytics, Associate Resume
- Experience in an analytical role in a technology or financial services setting
- Experience with product analytics tools such as Google Analytics
- Two or more years of data analytics experience (e.g., Tableau, Excel, ACL/IDEA, Power BI)
- Able to obtain a current U.S. Passport and valid driver’s license
- Master's and 5 - 8 years of experience
- Experience with Informatica or IBM InfoSphere MDM data quality tools
- Experience in data integration development
- Sound knowledge about RDBMS concepts and experience in RDBMS such as Oracle, DB2 and MS SQL
- Sound knowledge about analytics concepts and experience in tools such as SAS, R, Python and SPSS
4
Skills For Category Management Data Analytics Associate Resume
- Sound knowledge about visualisation concepts and experience in tools such as Cognos, Spotfire, Qlikview and Tableau
- Experience in analytics: data stores, data architecture, and related analytical tools
- Project management experience and ability to navigate a matrix organization
- Comfort with a fast-paced environment with the ability to manage multiple priorities proactively and independently
- Presenting findings and analysis to support senior coverage teams’ decision making process
- Driving market data research and collection from external sources for business environment and peer benchmarking analysis LI-SC1
5
Skills For Metrics & Data Analytics Associate Resume
- Knowledge in the generic implementation best practices such as auditing, data reconciliation, data duping, scheduling, creation of batch script etc
- Knowledgeable in working with and managing relational databases
- Proposes and executes projects for improving athena’s healthcare market data often working with Enterprise Technology and offshore teams
- Apply statistical, simulation and data mining methods to provide guidance in addressing business questions
- Proficient working with Microsoft office
- Sound knowledge in data integration design and data modeling
- Proficiency in the following software packages: MS Excel, MS SQL Server, R
- Document reporting requirements, source data and develop reports
6
Skills For Market Data & Analytics Associate Resume
- Develop dashboards using appropriate visuals
- Provide significant programming support for implementation of processes and procedures on analytical projects
- Extract and transform data from existing data stores to create data assets and perform analyses at manager’s direction
- Use statistics and predictive modeling to collect and explore data to be analyzed from multiple sources
- Proactively identify opportunities to streamline and enhance business processes using Aladdin tools, data and technology
- Partner with cross-functional teams to seek and incorporate feedback in designing solutions to complex business problems
- Aggregate, manipulate, and review large quantities of participant data for complex retirement plan compliance testing and corrections
- Identify and recommend solutions to remove obstacles impeding project steps or task achievement
- Able to get complete Tableau certification within first year of employment
7
Skills For Regional Data Analytics Associate Resume
- Familiarity with IBM InfoSphere MDM 11.5 (or initiate), Workbench and/or Identity Management
- Microsoft Excel – Macros, Pivot Tables, Lookups, and advanced formulas
- Not eligible for internal VA/VN international assignment
- Exposure to the use of logistic regression for predictive modeling, including understanding of the principles and techniques such as: Variable Selection (including testing for correlation and multicollinearity), Bias-Variance Tradeoff, Train vs Test, Folding and Bootstrapping
- Perform business analysis and build analytical reports from the model results and interpret the statistical terms
8
Skills For Operational Risk, Data Analytics, Associate Resume
- Knowledge in the SDLC life cycle and agile delivery methodology of data warehouse, data analytics projects and change management process
- Pick up new tools and work independently with minimal guidance from the project leads/managers
- Focus on deep dives into data to find problems or trends, reduce unnecessary cost and/or increase ROI, and drive better business decisions
- Manage the deployment of data driven tests and initiatives within the US PCG organization
- Use rigorous statistical methods to create test designs and build out data infrastructure to monitor test and initiative success
- Present findings and recommendations to senior managers and executives with quantitatively driven analysis
9
Skills For Operational Risk, Data Analytics Associate Resume
- Research and develop predictive models, statistical analyses, and optimization algorithms, to drive business results and understand business drivers
- Develop proof of concept solutions, and work with application developers to implement and maintain scalable products
- Knowledge of BI tools (Tableau) and CRM (Salesforce)
- Proficiency of MS Office (PowerPoint and Excel)
- Anticipates potential data needs and provides value added solutions to the customer in a more timely and efficient manner
- Builds analytics apps (e.g., using Tableau, R, Salesforce Wave) that drive understanding of healthcare market segments, and assess quality/completeness of athena’s market data
- Works independently and with cross - functional teams to identify issues, research probable root causes, recommend and execute solutions to data related matters that address the accuracy, and completeness, of athena’s healthcare market data
10
Skills For Ccb-mortgage Risk-data Analytics Associate Resume
- Creates or contributes to reports that provide insight on healthcare market segments or that document athena’s healthcare market data
- Provide insights and actionable recommendations to management
- Partner across the organization to achieve optimal results
- Knowledgeable in the concepts and applications of computer forensics
- Work with partners to understand business questions and identify available data. Provide support for communication of results and development of implementation strategies
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