Data Analyst

Data Analyst Roles and Responsibilities
Exp:05 years
1. Data Quality and Integrity

Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors

1. Collecting Data from Various Sources

Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.

1. Developing and Supporting Reporting Processes

Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
Identify opportunities for process enhancements
Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes

1. Developing Automated Processes for Data Scraping

Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability.

1. Interpret Data

Detect, examine, and decode trends or patterns within intricate datasets
Employ statistical techniques to scrutinize data and produce actionable business insights
Your analyses will help extract meaningful insights and trends, which can then inform business decisions and strategies
Develop data dashboards, charts, and visual aids to support decision-making across departments

1. Performs Complex Analyses

Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights

1. Maintaining Databases

You will be entrusted with the responsibility of managing and updating databases to ensure they are secure, accessible, and functioning properly. Your role is crucial in supporting ongoing data storage and retrieval needs.

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1. Collaboration

Coordinate with management to align business and informational priorities
Collaborate with the management team to determine and rank the needs of different business units

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.

Job Types: Full-time, Contract
Pay: $76,739.00 - $83,698.00 per year
Work Location: Remote