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Data Management Analyst Resume

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SUMMARY

  • 8 years of Industry Experience with Analysis Expertise ranges from Market analysis to data analysis for business decisions
  • 4+ years of working experience in IT industry as BI Analyst, Tools including Tableau, with strong background in Databases and Data warehousing concepts.
  • Technical as well as market understanding and experience in Banking, Retail and Data Center domains.
  • A basic knowledge of statistics to a rigorous understanding of Machine Learning. Most consumers of analysis will not look at more than descriptive analysis (means, medians, significance).
  • Computer skills that are useful are a Querying Language (SQL, Hive, Pig), a scripting Language knowledge(Python), a Statistical Language (R, SAS, SPSS), and a Spreadsheet (Excel).
  • Data mining skills (including data auditing, aggregation, validation and reconciliation), advanced modelling techniques, testing and creating and explaining results in clear and concise reports.
  • Quantitative/analytical skills to influence market knowledge to build and drive market forecasts and market share analyses
  • Collaborative skills to lead and work with virtual teams across engineering, sales, finance, marketing and corporate development
  • Experience with design - practice working with design teams from early concept through production
  • Performed A/B testing based on different hypotheses to directly and indirectly impact different Key Performance Indicators.
  • Knowledge of project management tools and methodologies.
  • Proficiency in using Salesforce.com(SFDC) with complete account management purposes.
  • Proficiency in SQL and knowledge of commercial and emerging reporting tools and technologies (e.g. Tableau etc.)
  • Application of sophisticated data science techniques to address a variety of business analyses
  • Strong working knowledge of MS Office Suite: Excel, Word, and PowerPoint.
  • Advanced computer knowledge with experience in statistical modeling and data visualization tools (e.g., SAS Analytics, R, Tableau)
  • Business understanding to relate market analysis to key business decisions/questions
  • Strong writing, presentation and communication skills to recommend leaders up to Executive level
  • Strong time management and project planning skills
  • Ability to work independently and thoroughly, take on responsibility and drive results in a fast paced and change oriented environmentand manage complex data models
  • High level of enthusiasm, innovation and dedication with ability to adapt easily to change and multitask.

TECHNICAL SKILLS

Querying Language: (SQL, Hive, Pig) CRM tools (Salesforce) Problem Solving Skills

Visualization Tools: (Tableau) Conceptual Modeling Skills Business Strategies

Statistical Language: (R, SAS, SPSS) Analytical Skills Communication Skills

Spreadsheet: (Excel, Visio) Market Research Expertise Self - Starter

Scripting Language: (Python, Matlab) Intellectual Curiosity Team Player

PROFESSIONAL EXPERIENCE

Confidential

Data Management Analyst

Responsibilities:

  • Successfully created MSP - Managed service provider’s database of 500+ for generating leads through various research methods and channels.
  • Serve as the POC for internal and external interface from a data management analyst and account manager perspective to ensure healthy and growing partnerships.
  • Doing analytical research and data analysis for getting the target # of MSP’s and customers to meet the company goals.
  • Utilize database, SQL and Excel/Google sheets skills to collect, organize, and analyze data to support forecasting efforts
  • Created automated Scoring Methodology for Tech Partner Program reduced work by 60%.
  • Created Tableau dashboards for performance checks for the tech partners for standardization of deliverables; ensure adherence to commitments.
  • Participate in Strategic Business Planningfor business networking and Quality management

Confidential

Data Analyst

Responsibilities:

  • Worked on information model, logical relationships, and the data structures that support different teams.
  • Identified pacesetter facts by researching industry and related events, publications, and announcements; tracking individual contributors and their s.
  • Increased company revenue by 20% in 3 months with Strategic planning.
  • As an appreciation seized opportunity to be project manager for one of our clients.
  • Worked with Business Analyst and the Business users to understand the user requirements, layout, and look and feel of the application to be developed.
  • Data blending implemented on EMPI databases and generated interactive dashboards.
  • Created ad-hoc reports to users in Tableau by connecting various data sources.
  • Generated Dashboards with Quick filters, Parameters and sets to handle views more efficiently.
  • Published Workbooks by creating user filters so that only appropriate teams can view it.
  • Analyzed the source data and handled efficiently by modifying the data types.
  • Used excel sheet, flat files, CSV files to generated Tableau ad-hoc reports.
  • Generated context filters and used performance actions while handling huge volume of data.
  • Generated tableau dashboards for sales with forecast and lines.
  • User Java Script API to customize the views, selects, filters, date and time.
  • Generated tableau dashboards with combination charts for clear understanding.

Confidential

Infrastructure Data Specialist

Responsibilities:

  • Management and Administration of Merck Infrastructure monitored using HP & BMC tools. Liaison between Merck and HCL operations team.
  • Strict adherence to change management processes, reviews, reporting and deck presentations to client.
  • Experience in Infra/Apps monitoring practices and monitoring tools along with knowledge of HP tools.
  • Interact with clients, Vendors and SME’s on regular basis to align with customer strategy and requirements.
  • Strict adherence to change management processes, reviews, reporting and deck presentations to client on weekly and monthly basis.
  • Experience in Infra/Apps monitoring practices and monitoring tools along with knowledge of HP tools.
  • Ensure work flows with no interruption, proper response by team (both time wise and follow ups), Deliverables meeting deadlines, quality implementation of monitors.
  • Ensure proper escalation from HCL team to Merck Engineering team.
  • Implemented Site Scope Instance in high availability and integrated it with OM.

Confidential

Major Incident Manager

Responsibilities:

  • Incident management scope of work ensuring every single event is identified, documented, escalated and driven till closure.
  • Responsible for Level-1 Escalations ensuring no exceptions were missed reducing any unwanted delay. Coordinate closely with Support teams on Level-2 severity incidents.
  • Increased the KPI Metrics from 3 to the level of 4 or more by adhering to SLA for L-1 Incidents.
  • Transit maintenance notice to global support groups during Major failure / breakdown cases and providing Real time & continuous follow-up with global support teams on critical incident resolution.
  • Quickly assessing and filtering incident information from a variety of sources
  • Writing accurate, concise initial and follow-up alerts that are sent out to clients
  • Conducting open-source research on all-hazards incidents
  • Professionally responding to customer feedback and inquiries.

Confidential

Data Research Analyst

Responsibilities:

  • Interpreting and analyzingdatausing statistical techniques
  • Providing ongoing reports with consistently updated information
  • Developing and implementingdatacollection systems to optimize efficiency and quality of incomingdata
  • Identifying and interpreting trends in complexdatasets and models
  • Reviewing computer generated reports to identify code problems
  • Working closely with other teams to appropriately manage business needs
  • Communicating important findings clearly to other team members
  • Maintaining professional and technical knowledge through s
  • Building and maintaining models, analyses and reports for stakeholders / investors

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