Senior Data Analyst

Roles and Responsibilities

• Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
• Detect, examine, and decode trends or patterns within intricate datasets.
• Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
• Coordinate with management to align business and informational priorities.
• Identify opportunities for process enhancements.
• Employ statistical techniques to scrutinize data and produce actionable business insights.
• Collaborate with the management team to determine and rank the needs of different business units.
• Develop data dashboards, charts, and visual aids to support decision-making across departments.
• Convey insights through both reports and visual presentations.
• Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.
• Collaborate directly with internal and external clients to meet analytics demands.

Skills and Qualifications

• Three or more years of experience in data analytics or data science roles.
• Proven ability in using statistical analysis, predictive modeling, and explanatory modeling to identify trends.
• Adept at report writing and presenting findings.
• Advanced understanding of data management and visualization practices.
• Fluency in Python or SQL for data analytics.
• Ability to work under pressure and meet tight deadlines.
• 3 years of RCM experience.
• A bachelors degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.