Data Enrichment 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.

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

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.

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

Collaborate with cross-functional teams to define data requirements and objectives.

Minimum of 2 years experience in a data analysis role, preferably in a business or technology setting.

Strong knowledge of data visualization tools (e.g., Tableau, Power BI).

Effective communication skills to convey data insights and findings to both technical and non-technical stakeholders.

Collect, clean, and organize large datasets from various sources, ensuring data accuracy and integrity.

Apply advanced data analytics techniques to identify trends, patterns, and anomalies, translating raw data into actionable insights.

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

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

Conduct comprehensive data analysis, leveraging advanced statistical methods and analytical tools to uncover actionable insights and trends.

Present impactful dashboards to communicate insights, and recommendations to stakeholders of the organization.

Proficient with statistical computer language R/Phyton and machine learning frameworks: Pandas, Scikit-Learn, MILib Spark, or Tensorflow.

•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.