Data Analyst
Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment.
Work in Cloud environments and have expertise in using object stores, and other common cloud-native data storage and processing frameworks.
Demonstrate ability to design & implement performant, scalable, resilient, reliable, and understandable data pipelines.
Exhibit deep expertise in modern data engineering approaches and awareness of leading technology trends.
Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data / analytics technologies on the cloud.
Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations.
Tasks
Analysing which data is important to the task at hand and which is irrelevant.
Segregation, classification and analysis of data.
Identifying major trends.
Compilation of reports based on analysis, keeping in mind the end user’s requirements.
Presentation of findings in the form of graphs, tables, charts and multimedia presentations.
In some cases performing data mining tasks, for predictive or forecasting purposes.
Design and maintenance of databases, including security issues.
Requirements
create reports for internal teams or clients outside the company.
Join forces with other team members to gather and examine data.
To visualize data, use graphs, infographics, and other techniques.
Create KPIs to assess the success of business choices
To obtain useful information, big data sets need be structured.
Process information with a group of analysts and other colleagues.
Make presentations and reports based on the results and recommendations.
Benefits
Paid time off
Vision insurance
Life insurance
Health insurance
Dental insurance
401(k)
Effectively collaborate with teams for problem-solving and resolving issues.
Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track.
Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs.
Experience in building Source to target mapping sheets in discussion with source SME's and businesses and working with data modelers and Data Engineers to build & validate the E2E data flow.
Experience with automated tools to extract data from primary and secondary sources.
Utilize technical expertise to ensure data is accurate and high-quality.