Data Analyst (Remediation)

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Job Title: Data Analyst (Remediation)

Duration: September 2021- August 2022

Work location: 100 % remote (work from home)

***Umbrella Only*** We are working with a well-known organisation, who are seeking for an additional Data Analyst to the team to provide support for security, innovation, and remediation efforts across the enterprise. As a Data Analyst you will collect, collate, analyse, and report on data from various data sources, internal teams, existing technology systems that span several technical and business domains. You will assist in translating operational data and information into actionable insights the team can utilise to secure the enterprise. Therefore, you must have good interpersonal communication skills, an analytic mindset, and is detailed-oriented. Required Technical and Professional Expertise:Basic knowledge in Programming / Scripting skills in languages such as SQL, Python and/or R, a plusAn analytical mind and inclination for problem-solvingSome experience with statistical softwareKnowledge of data gathering, cleaning, and transforming techniquesReporting and data visualization skillsBasic understanding of data warehousing and ETL techniques, a plusProficiency in Microsoft ExcelTechnical writing skillsExcellent attention to detailAreas of Analytical Focus (with some basic knowledge and understanding of)Responsibilities:The Data Analyst will gather information from various sources and interpret patterns and trends to aid in data collection / analysis.Integrate and convert data into standardized format(s) for further analysis.The Analyst will also identify and correct problems in our data sets, including performing quality assurance on imported data.Evaluate information to reach conclusions, build models, test data set validations, and clean data sets to ensure accurate reporting.Define new data collection and analysis processesBasic understanding of data visualization and curation to present to technical and non-technical audiences alikeWork with team members, management, and project stakeholders to prioritize business and information needsLook for opportunities to improve data collection and analysis processes