Data Analyst at Softhills Limited

We are seeking an experienced and detail-oriented Data Analyst to join our team. As a Data Analyst, you are tasked with turning data into information, information into insight, and insight into business decisions. This means you are at the core of our business decisions and business growth.

Job Overview

The Data Analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement.

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.
• Partner with engineering and product development teams to understand business requirements.
• Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.

Skills and Qualifications

• Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Capable of critically evaluating data to derive meaningful, actionable insights.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
• A bachelor's 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.

Additional Requirements

• Adept at report writing and presenting findings.
• Ability to work under pressure and meet tight deadlines.
• A deep understanding of the industry and business operations is a plus.