Data Engineering Analyst Jobs

Manage and control data processing technology.

Collaborate with Area Supervisors, Branch Managers, and Organizational Leaders.

2-3 years of experience in data analysis.

Strong analytical and problem-solving skills.

Experienced as a Retail Supervisor for 2 years.

Excellent communication skills for reporting and collaboration.

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

Experience in business, strategy and/or tech consulting would be an advantage.

Experience using Big Data technologies (Spark, PySpark, Databricks) is a strong plus.

Experience in working with stakeholders in the Investor Relations and Corporate Strategy domain is a strong plus.

Be our expert in using data to measure and analyse business performance in each of our markets and lines of business.

Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth.

Lead new data analytics capability rollouts in Corporate Analytics, Investor Relations and Compliance.

Min. 12 years of work experience in engineering design. Have experience in marine engineering or hydrology/water management would be an advantage

Perform QA/QC process in accordance with the management system for engineering design works

Good analytical skill, logical thinking and detail oriented

Good communication and presentation skills

Carry out a check list and check all design engineering work products

Updating all applicable SOPs, technical specifications and engineering standards.

** 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.

Collaborate with team members to understand data requirements and objectives.

Strong analytical mindset and problem-solving skills.

Assist in data collection, cleaning, and preprocessing tasks to ensure data accuracy and reliability.

Help create and maintain data visualizations, dashboards, and reports.

Assist in ad-hoc analysis requests from various departments.

Pursuing a degree in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline.

Work with management to prioritize business and information needs.

Bachelor Science in Mathematic, Economic, Computer Science Information Management, or Statistic.

Have experience as Data Analyst.

Interpret data, analyze results using statistical techniques and provide ongoing reports.

Develop and implement database, data collection system, data analytics and other strategies that optimize statistical efficiency and quality.

Acquire data from primary or secondary data sources and maintain database/data systems

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.

Partner with data warehouse / data engineers to design schemas, execute data validation/quality assurance, and support data management practices

Empower our key stakeholders to enhance their comprehension and analytical capabilities

4-5 years of analytics experience (including data collection, data analysis, and data visualization) in a technology company, preferably a startup

Proficient in SQL, BI Tools, Event Tracking tools, and experience with a programming language (Python or R) is preferred

Collaborate with the business and product teams to address tactical inquiries

Assess operations for inefficiencies and pinpoint areas where you can generate, automate, and cultivate tools

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.

Bachelor's degree or equivalent experience at least an internship as a data analyst

Business Analyst (Card and Loan Portfolio)

Develop new product and service oriented strategies

Communicate and implement strategies alongside technical team

Identify and solve weaknesses within the organization

Explore new ways to increase customer or client satisfaction

● Collaborate with stakeholders to understand business requirements and design effective data solutions.

● Minimum of 3-6 years of experience as a Data Analyst or in a related role.

● Demonstrated experience in data analysis, data modeling, and data visualization.

● Proven experience in data analysis and visualization using Microsoft Power BI.

● Strong knowledge of Power Query for data extraction, transformation, and loading.

● Experience with ETL (Extract, Transform, Load) processes, data integration and data cleansing techniques.

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

Hands-on experience: Python - Pandas, Numpy, Scikit learn SQL

Good communication skills to promote cross-team collaboration

Collaborate with team members from data science and other teams to develop data science solutions

Conducts statistical analyses to develop strategies,

Interpret complex data sets and communicate actionable insights to stakeholders through clear and concise reports, presentations, and visualizations.

Discover new opportunities to optimize the business through machine learning and/or statistical modeling.

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