Data Analyst

Makati, National Capital Region

Posted 9 days ago


Company:: Hunter's Hub Inc.
Company Description:: Hunter’s Hub Incorporated is a Sourcing and Headhunting company that was founded earlier on in the year 2018. The company prides itself in its ability to source and recruit only the best and brightest of each industry. Hunter’s Hub caters to numerous clients in a multitude of industries, and has a wide-range of candidate selections to suit any of our clients’ needs. Likewise, the company specialises in sourcing out highly skilled and multi-talented IT professionals because the company mostly caters to clients being widely known to be in the IT industry.
Contract Type:: Full Time
Experience Required:: 3 to 4 years
Education Level:: Bachelor’s Degree
Number of vacancies:: 2

Job Description

Job Location: BGC Taguig, Philippines | Hybrid
Job Schedule: Mondays to Fridays | 8:00AM to 5:00PM

Job Requirements:
Bachelor's degree in Information Technology, Computer Science or any related course
3+ years of experience on Data Analysis, designing and report development
Strong experiences with visualization on PowerBI, Lookr, Tableau, and the likes
Java 11 or higher (for ingestion), SQL, Python
Great to have: Dbt, Databricks, Kafka, Airflow, NiFi, Linux Administration, Bitbucket

Job Description:
Develop ETL jobs
Enhance an ETL job applying best practices and the spark configuration balancing
Conversion and migration of jobs from one platform to another big data platform
Integration of a job from its ingested source transforming it into various targets like databases, extracts files, and use cases of a streaming platform
Keep technology trends about big data ETL as much as possible
Troubleshooting, testing, and pre-implementing ETL’s data mapping
Generate reports, create dashboards for analysis
Reports rationalization (including data mapping, identification of data sources, and alignment on what table sources to use)
Business user discussion on the proposed rationalized dashboards
Improve efficiency and productivity through process simplification, automation, and democratization of data
Promo post-mortem analyses to determine the success of products launched
Support the big data issues encountered on enterprise data systems and frameworks