Senior Business and Data Analyst

 Posted 4 months ago
  
 India
  
5-10 years experience
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AI Summary

The role primarily focuses on business analysis and strategy (60%), involving stakeholder collaboration to define KPIs, optimize processes, and translate requirements into technical specifications for data solutions. The remaining time is dedicated to data governance/quality assurance (25%) and project management (10%).

NOTE- This is a remote role that will require working during night shift hours.

Responsibilities:

1. Business Analysis and Strategy: 60%

 - Work closely with stakeholders to understand business needs and define key performance indicators (KPIs).

 - Design and analyze business processes and recommend improvements to optimize operational

   performance.

 - Identify deficiencies in business/data processes, data quality, usability or accuracy.

 - Perform impact analysis and “what if” assessments for systems enhancements.

 - Collaborate with Salesforce developers to define and implement customizations, workflows, and automation within Salesforce.

 - Document all system-related processes and flows.

 - Translate business requirements into technical specifications for data solutions.

 - Present data visualizations that effectively communicate key insights and trends to stakeholders.

 - Collaborate with leadership to understand strategic objectives and align data analytics initiatives accordingly.


2. Project Management: 10%

 - Utilize Jira/Aha to manage tasks, track project progress, and prioritize deliverables.

 - Collaborate with cross-functional teams to ensure the successful delivery of data projects.

 - Lead data-focused workshops, meetings, and presentations to drive alignment across teams.


3. Data Governance and Quality Assurance: 25%


 - Ensure data integrity, accuracy, and consistency across systems.

 - Develop and enforce data governance policies and best practices.

 - Designing processes and proactively addressing data quality issues and improving reporting reliability.

 - Coordinates and conducts User Acceptance Testing.


4. Continuous Improvement and Innovation: 5%

 - Stay at the forefront of industry trends, technologies, and advancements in data analytics.

 - Propose and implement innovative solutions, methodologies, and tools to enhance the organization's data capabilities.

Minimum Qualifications:

  • Bachelor's or Master’s degree in Data science, Computer Science, Statistics, or a related field.

  • 5+ years of experience in business and data analysis.

  • Proficient in using Power BI and Qlik.

  • Extensive expertise in Excel and other data analysis tools for processing and analyzing large datasets.

  • Skilled in using JIRA and AHA for managing workflows and projects.

  • Hands-on experience with AI-powered tools, including conversational AI and chatbots, AI writing assistants, and automation platforms.

  • Proven experience with Salesforce, including hands-on expertise in utilizing its features for customer support functions.

  • Familiarity with cloud data platforms (e.g. AWS and SAP).

  • Knowledge of Agile or Scrum methodologies.

  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.

  • Excellent communication skills with the ability to present data-driven insights clearly to non-technical stakeholders.

  • Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.

  • Detail-oriented with a focus on data accuracy and integrity.

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