Data Engineering Analyst Jobs in Kab. Bekasi, West Java

Lead and mentor a team of data engineers, providing technical guidance, coaching, and performance management

Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and deliver on data engineering solutions.

Proven experience in data engineering, with at least 3 years in a leadership or managerial role.

Manage and optimize data warehousing and storage solutions to support data analytics and reporting.

Strong programming skills in languages like Python, Java, or Scala.

Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).

Understand Data & Analytics capabilities within Business Unit/Cluster

SQL skills - familiar with query language to derive valuable insights from databases.

Analytical skills - Able to break down problems into clear problem statements, objectives and solution steps.

Writing skills - Able to translate data into insightful stories in the form of a clear and concise document or deck.

Data Visualization Skill - Produce data visualization with a strong storytelling element using Tableau/Looker/PowerBI.

Experience working in a related field for at least 2 years or more.

Minimum 3 years of experience.

Excellent English communication skills, both spoken and written

Provide insights, recommendations, and strategies to enhance the operational delivery of BI solutions, and technical directions

Gather, cleanse, and securely store large sets of data, ensuring accuracy and relevance.

Conduct detailed data analysis to uncover valuable business insights and trends.

Collaborate with various teams to generate regular reports, formulating substantiated recommendations aimed at enhancing business performance.

-Possess a minimum of 2 years of experience in data analysis.

-Have hands-on experience with Power BI, SQL, Python, and SAS.

-Demonstrate a strong command of finance and accounting principles, including proficiency in financial ratios.

-Possess effective oral and written communication skills in English; proficiency in Mandarin is considered an additional asset.

-Do analysis of sales data, inventory movement data, and financial reports (including ratio analysis, trends, and comparisons).

-Independently develop data analysis models.

At least 2 years as of working experience in the area of Data Analytics/Data Warehouse/Big Data/Data Science

Strong communication skills (Bahasa Indonesia & English)

Bachelor or master’s degree in Statistics, Mathematics, Engineering, Computer Science, Science or similar advanced degree is preferred

Familiar with big data platform including Data Lake

Exposure to visualization and dashboarding tools like Tableau, Metabase, Google Data Studio, power BI etc is a plus.

Good team player and highly adaptable to change

** Manage and facilitate flow of essential information among the project team members.

** At least 3+ years of practical experience in the related fields

** Strong knowledge and understanding of the public policy, startup landscape and entrepreneurship.

Obviously Sustainable is recruiting a Quantitative Data Analyst based in Jakarta, Indonesia.

** Lead data processing and analysis on Baseline Study, Programme Evaluation, Impact Assessment projects,

** Visualise key insights and datapoints from LimeSurvey and produce visuals using R.

Analyses conversion funnel and provide insights on how we can acquire more customers through the partners

Analyses marketing performance to optimize marketing resource allocation

Support marketing program from preparation, execution, and fulfillments

Preferably major in Physics, Mathematics, Information System, Informatics Engineering or related fields with no class to attend

Passionate and has an interest in Data Analyst

Full-time interns preferred 3-6 months

Possess a minimum of 2 years of experience in data analysis.

Have hands-on experience with Power BI, SQL, Python, and SAS.

Demonstrate a strong command of finance and accounting principles, including proficiency in financial ratios.

Possess effective oral and written communication skills in English; proficiency in Mandarin is considered an additional asset.

Do analysis of sales data, inventory movement data, and financial reports (including ratio analysis, trends, and comparisons).

Independently develop data analysis models.

of Xiaomi products and Responsible for management of sales, and to create long

-Coordinating with Finance departement to analyze the payment from each distributor

-Doing data Analyst of products sales in distributor, maintaining and

analysing products ability (stock) in each distributor and drive sales by the distributor.

-Maintaining a good relationship with distributor in order to have repeat order

term relationship with the portofolio of assigned clients.

Partner closely with Product Managers and Business teams to help them make decisions

Automate data extraction by creating denormalized tables or data marts based on business or product requirements

At least 3 years of experience as Business Intelligence/Data Analyst

Create business impact by working on strategic initiatives in GoTo Rewards focussed on analysis and experimentation

Build & maintain ETL/ELT pipelines in BigQuery for a variety of event data sources

Build & maintain dashboards for tracking business performance and product adoption

Prepare and manage weekly payroll

Candidate must possess at least a Bachelor’s Degree in Finance/Accountant/Banking or equivalent

At least 3 year of working experience in the related field is required for this position

Experience interpreting data and analyzing results using statistical techniques

Strong analytical and organisational skills

Timely and accurate payroll processing, ensuring there are best practice checks and controls in the process to ensure an efficient

SQL skills - familiar with query language to derive valuable insights from databases.

Analytical skills - Able to break down problems into clear problem statements, objectives and solution steps.

Writing skills - Able to translate data into insightful stories in the form of a clear and concise document or deck.

Data Visualization Skill - Produce data visualization with a strong storytelling element using Tableau/Looker/PowerBI.

Experience working in a related field for at least 2 years or more.

Become SME (Subject Matter Expert) in terms of Data & Analytics within Business Unit/Cluster

Preparing concept and methodology based on requirements

Experienced researcher/analyst in research organization, companies, or NGO

Data research and data structure development

Data analysis and insights from desk and field researches

Prepare project reports and attend client meetings

Good work ethic and obiective-oriented

•0-1 years’ experience in FMCG or e-commerce

•Interpreting data, analyzing results using statistical techniques and tools

•Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.

•Acquiring data from primary or secondary data sources and maintaining databases.

•Identify, analyze, and interpret trends or patterns in complex data sets.

•Locate and define new process improvement opportunities.

Support the Managements and related stakeholders on strategy and business review related topics including ad hoc analysis and reports.

Review existing management reporting processes and reports, provide recommendation on how to improve efficiency and data quality via automation.

Define scoping of report requirements by identifying specific data needs/ gathering, structure, format, and reporting frequency to achieve intended outcomes

Produce and distribute useful and timely reports across different business functions within SLA

Involve the use of large volumes of internal and external data to draw insights

Implement business process improvements in reporting activities and enhance data quality.

Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience

Understand the day-to-day issues that our business faces, which can be better understood with data

Compile and analyze data related to business' issues

Develop clear visualizations to convey complicated data in a straightforward fashion

Freshgraduate are welcome to apply

Proficient in Ms Excel, or another Data Tools

Knowledge of SEO best practices

A degree in marketing, communications, or media, or training with social media

The ability to analyze data (specifically related to user behavior and engagement)

The ability to provide constructive criticism

Ability to identify target audience preferences and trends

Provide periodic insight and report to support marketing team

Able to manage moderate-scale projects and assist the lead of data analyst in management of large-scale or multi-stage projects.

Create communication and collaboration with stakeholders to enrich knowledge to solve problems

Collecting, compiling and designing information & data requirements related to certain task/project needs

Understanding of business requirements and constraints including potential trade-offs between speed and accuracy

Documenting analytics and business requirements related to assigned tasks.

Minimum 2 years experience as Data Analyst

2. 3-5 years of working experience with Business Intelligence Analytics or Statistics or Data Modeling.

4. A strong business sense and communication skills.

6. Ability to use critical thinking to manage daily tasks while being goal-oriented.

7. A good knowledge in data-science related cases is a plus.

8. Willing to be placed in Tangerang.

1. Bachelor's degree or above in Computer Science, System Informatics, Business Analytics, Mathematics, Statistics, or related disciplines.

Having experience in data analytics.

Having experience in AWS technology is a plus.

Having experience in using machine learning frameworks.

Having experience in statistical analysis (ex: hypothetical test, experimentations, regression) and familiar with statistics tools (Matlab, R, SAS, or Python).

Having experience/porto in credit scoring cases is a plus.

Help Jala Farm and Jala Insight team analyze and evaluate the shrimp cultivation process through data.