Wipro - Minneapolis, MN

posted 5 days ago

Full-time - Entry Level
Minneapolis, MN
Professional, Scientific, and Technical Services

About the position

The Data Analyst role is designed to interpret data and transform it into actionable insights through reports, dashboards, and visualizations. This position plays a crucial role in enhancing business decisions by analyzing data patterns and trends, managing project scopes, and ensuring effective communication with clients and stakeholders.

Responsibilities

  • Manage the technical scope of the project in line with the requirements at all stages.
  • Gather information from various sources including data warehouses and databases, and interpret patterns and trends.
  • Develop record management processes and policies.
  • Build and maintain relationships at all levels within the client base to understand their requirements.
  • Provide sales data, proposals, data insights, and account reviews to the client base.
  • Identify areas to increase efficiency and automation of processes.
  • Set up and maintain automated data processes.
  • Identify, evaluate, and implement external services and tools to support data validation and cleansing.
  • Produce and track key performance indicators.
  • Analyze data sets and provide adequate information.
  • Liaise with internal and external clients to fully understand data content.
  • Design and carry out surveys and analyze survey data as per customer requirements.
  • Analyze and interpret complex data sets relating to customer's business and prepare reports for internal and external audiences using business analytics reporting tools.
  • Create data dashboards, graphs, and visualizations to showcase business performance and provide sector and competitor benchmarking.
  • Mine and analyze large datasets, draw valid inferences, and present them successfully to management using a reporting tool.
  • Develop predictive models and share insights with clients as per their requirements.

Requirements

  • Knowledge of current and upcoming technology (automation, tools, and systems) to build efficiencies and effectiveness in the function.
  • Ability to follow standards and norms to produce consistent results and provide effective control and reduction of risk.
  • Expertise in various programming languages/software (Python, Microsoft Excel, VBA, Matlab, SQL) and tools on data analytics.

Nice-to-haves

  • Experience with business analytics reporting tools.
  • Familiarity with survey design and analysis.

Benefits

  • Professional development opportunities.
  • Flexible working hours.
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