Senior Customer Data Analyst Jobs in Kedung Waringin, Kota Bekasi, West Java

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.

Provide opportunities for skill growth and exposure to product management aspects.

Analyse end-to-end users for consumer lending on gojek/gopay

Analyze, visualize data, provide insights, and collaborate with cross-functional teams. 3. Drive Analytics and Business intelligence for the same

Provide insights about the users and user journey from the product point of view: Own the product metrics

Build Propensity/Income models to let users get approved and adopt more to consumer lending

Define the measurable KPIs and metrics jointly which define the product success

Understand and report to your team and senior management on business performance

Self-manage delivery of analytical projects

2+ years of relevant experience, preferably working with large datasets and experimentation

Excellent problem-solving skills including the ability to analyze and resolve complex problems

Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines

Experience with dashboarding / visualization software like Tableau

Strong technical leadership, project delivery and team building skills, Team player with management skills and the ability to lead others

Passionate and knowledgeable about big data stacks, have experience in following software/tools:

Data pipeline and workflow management tools: Airflow, etc.

Experience gathering and analyzing system requirements

4+ years of prior experience as a manager. We'll want to hear how your reportees developed and grew under your leadership

Responsible to develop and manage the Enterprise Data Warehouse of GoTo

Communicate actionable and accurate insights to business stakeholders, including senior management

Experience in working BI Tool (Qlik, powerBI, Tableau etc )

Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.

Grow Relentlessly: Strive to become our best, most authentic selves.

Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.

Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.

Experience working with data modelling tools like DBT, Looker, Holistics, or equivalent

Experience working with task scheduling tools like Airflow, Prefect, or equivalent

Minimum of three years' experience working as a data analyst, BI, or equivalent position

Experience working with SQL based reporting tools like Metabase, Tableau, or equivalent

Understand and practice engineering best practices: e.g. version control, testing, DRY

Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or equivalent

Experience collecting and assessing User Requirements, for new and decommissioning systems

3-5 years’ relevant work experience required

Experience working with, implementing, and maintaining systems

Experience being the first line of support for a regional or global system

Ability to successfully manage multiple critical issues simultaneously is required

Experience building reports, dashboards, and presentations to highlight key metrics to partners in different functions and levels required

Excellent verbal and written communication skills in English

Excellent organizational skills, attention to detail and ability to work independently

Experience in digital marketing or e-commerce

Experience with A/B testing and other testing metrics

Strong presentation and negotiation skills

Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders

Strong analytical skills with experience in handling large amount of data from pdf/excel

Design client presentations and enhance customised reporting experience

At least 5 years of financial data analayst experience

Python skills for task automation, data analysis, and data visualization

For overseas applicants it will be fully remote

Team player with good interpersonal skills

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.

Provide opportunities for skill growth and exposure to product management aspects

Analyse end-to-end users for consumer lending on gojek/gopay

Analyze, visualize data, provide insights, and collaborate with cross-functional teams. 3. Drive Analytics and Business intelligence for the same

Provide insights about the users and user journey from the product point of view: Own the product metrics

Build Propensity/Income models to let users get approved and adopt more to consumer lending

Define the measurable KPIs and metrics jointly which define the product success

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

Create new & manage automated report/dashboard based on requirement defined by Stakeholders to ensure Stakeholders consume correct and latest data

Create new & manage Data Mart to make work easier & faster

Have experience related with data (Data Analyst, Data Scientist, Business Intelligence, Business Analyst, Product Analyst, etc) at least 3 years

Have experience to provide analysis (Descriptive/Diagnostic/Predictive/Prescriptive) with help of analytics tool (Eg: Big Query, Python, R, SPSS, etc)

Have knowledge of Data Mining concept (Eg: Statistics, Machine Learning, Forecasting, etc)

Experience in Bankin g and fully understand end to end flow process of Digital Lending

Responsible to develop and manage the Enterprise Data Warehouse of GoTo

Manages a large pool of Data Analysts supporting various Clusters / OpCo and Functions of GoTo;

Implement best practices in data model & SQL using knowledge of GoTo’s Business Functions

Provide inputs to Data Engineering teams on requirements to support data

Manage large team of data engineers across multiple Clusters / OpCos

Mentor the team in their approaches in analytics problem-solving, as well as soft skills

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.

Deliver ad hoc report and analysis to respective parties including Senior Management and Regional

Coordination with respective parties to get reliable data and information

Prepare data for regular as well as ad hoc reports

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

Coordinate with different functional teams to implement models and monitor outcomes.

Provide insights based on report using data visualization tools and give recommendation based on the report.

Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

Experience with SQL and analytical tools (SAS, R, Python) is a must.

Familiarity with risk and fraud in ecommerce fields and experience with fraud rule writing is a strong plus.

Understand the trends and intelligence of fraudulent activities and build intelligence systems to mitigate fraud.

Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.

Drive process implementation and improvement that streamlines determination of fraud events.

Collaborate with cross-functional teams to fulfil above responsibilities

Experience working in a team with agile development environment

Good communication skills in English

3-5 years of experience in Data Analysis.

Experience in Data Analytics Tools.

Experience in Data Visualisation Tools.

5+ years of experience in data analytics and database optimization

Experience with advanced analytical toolsets, such as SPC, Statistical analysis, Machine Learning, etc.

Do carefully consider the requirements before submitting your application.

Collect and evaluate data and feedback from customers to continually improve Arcstone’s toolsets

Able to learn how to use new software quickly

SQL (working with queries, views, stored procedures, triggers and different SQL functions)

Experience working with data modeling tools like DBT, Looker, Holistics, or equivalent

Experience working with task scheduling tools like Airflow, Prefect, or equivalent

Min 3yrs experience working as a data analyst, BI, or equivalent position

Experience working with SQL based reporting tools like Metabase, Tableau, or equivalent

Understands and practices engineering best practices: e.g. version control, testing, DRY

Bachelor’s degree in engineering, computer science, statistics, mathematics, or equivalent

5-8 years of previous experience in call center management preferred

Ensure team task/service quality by applying in-depth disciplinary knowledge of policies, concepts and procedures within own area

Deliver a high-quality service experience across the client base and inform clients of ongoing market initiatives

Previous experience in financial services preferred

Demonstrated organizational and problem-solving skills

Bachelor's degree/University degree or equivalent experience

Excellent verbal and written communication skills in English

Excellent organizational skills, attention to detail and ability to work independently

Experience in digital marketing or e-commerce

Experience with A/B testing and other testing metrics

Strong presentation and negotiation skills

Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders

Excellent verbal and written communication skills in English

Excellent organizational skills, attention to detail and ability to work independently

Experience in digital marketing or e-commerce

Experience with A/B testing and other testing metrics

Strong presentation and negotiation skills

Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders