Data Analyst @ Moneylicious

Job Description

Role Purpose The purpose of this role is to source and profile data from multiple sources for reporting needs as defined by business. Designing data collection processes to collect and extract, transform, analyse, interpret, evaluate, and visualize data while working alongside various teams, both inside and outside of the BU. Identifying trends and patterns in the data and report it back to the team. Working with multiple stakeholders and team members to improve data collection and quality processes. Requirements Total Experience 7+ years Relevant Experience Min of 5-7 years experience in a similar role. Experience in data analysis, modelling, visualization and/or some programming knowledge. Duties and Responsibilities KEY ACCOUNTABILITIES/KRAs/KPIs Designing data collection processes, Data extracts from multiple BU and external sources. Data provisioning, quality and transformation to produce meaningful reports. Surfacing of data extracts in usable formats using. available tools. Data Analysis and problem solving. Monitor and report on key performance indicators and metrics. Perform deep dive analysis with regards to data accuracy, integrity, quality, and accessibility. Identify and escalate data issues discovered. Perform data quantitative and qualitative analysis. Perform data reconciliations to identify data anomalies. Create data visualizations, memos, dashboards and presentations to business audiences. Liaise with various stakeholders on all levels to unpack and understand their data requests. Assist the MMerge product house with reporting requirements internal and external to the product house. Play an active role in the Data Management program. Perform effective management and accountability over data to maintain confidentiality, integrity and availability. Play an active role in projects to assist with data related principals/requirements/data reporting needs. Mandatory Skills Intermediate SQL are mandatory Usage of Python (Script & Automation) required. Working knowledge of PowerBi preferred Experience in AWS Data Lake environment with Glue and Athena preferred. Demonstratable Insurance/Financial experience preferred Experience in data analysis, modelling, visualization and/or some programming knowledge Demonstrate the ability to derive insights from data and communicate those insights to a nontechnical audience. Familiarity with a general programming language (e.g. Python, etc.) or a statistical package, or at least you're a Microsoft Excel guru.p

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Equity Research
Functional Area: Not Applicable
Role/Responsibilies: Data Analyst

+ View Contact

Keyskills:   SQL Python AWS Data analysis Data visualization PowerBi Data modelling Programming knowledge