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.

1. 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.

1. 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.

1. 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.