Senior Business and Data Analyst

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.