Marketing Data Analytics Jobs

5+ years of recommended total experience, including 3+ years of relevant experience, preferably in data science, data analytics, or data engineering.

Performs A/B testing, scenario analysis and other deep dive analyses to address business questions related to OC execution and impact

Develops processes and tools to monitor and analyze the performance of OC campaigns, channels, and content

Bachelor’s Degree in Statistics, Computer Science, Information Technology, or any other related discipline.

Provide analytical and valuable insights for decision-making support for key projects and management

People management and strong commercial acumen

Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance

Strong analytical and statistical analysis skills in order to extract insights and recommendations

Fluent in English with strong communication skills (both written and verbal)

Communicate findings and propose actionable recommendations to address the problems

Great communication & stakeholder management skills.

Ownership mindset and ability to meet tight deadlines with a logical, methodical approach to prioritizing tasks and responsibilities.

3-5 years of experience as a Data analyst, including practical experience with MSSQL (or equivalent database), Tableau visualization.

Experience with Financial Planning, Workforce Planning.

Get involved in the operational Budgeting and Workforce planning of the company

Ability to work well with employees in a highly multicultural environment.

Develop and execute the overall data and analytics strategy, aligning it with the company's business objectives and growth initiatives.

Collaborate with cross-functional teams to identify business challenges, opportunities, and recommend data-driven solutions that drive operational efficiency and profitability.

Oversee data collection, integration, and validation processes to ensure accuracy, completeness, and reliability of data for analysis.

Identify opportunities to leverage advanced analytics, machine learning, and AI techniques to extract valuable insights from large and complex datasets.

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.

Proficiency in data analysis tools such as SQL, Python, R, or similar technologies.

Collaborate with cross-functional teams to define data requirements and ensure accurate data collection.

Stay updated on industry trends, data analytics techniques, and emerging technologies to continuously enhance the team's analytical capabilities.

Proven 2 years’ experience in marketing analytics, data analysis, or a similar role.

Experience in data visualization and creating dashboards to communicate insights effectively.

Knowledge of data mining techniques and predictive modeling.

Excellent problem-solving skills and ability to translate data into actionable insights.

Provide regular updates and reports on insights and recommendations to senior management in a clear, concise format to support strategic decision-making

At least 3 years of work experience in data analysis or consumer insights

Proficiency in SQL, Python, and Excel, and experience with data visualization tools such as Tableau or Power BI

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science and experience with JavaScript is a plus.

Analyze and interpret trends and complex data sets to identify key insights and opportunities related to consumer behavior for business growth

Develop and implement channel allocation and spending strategies to grow and optimize business performance

Understanding in data management and storage.

Validate, interpret, and create reports and presentations for senior data analytics management, departmental heads/management, and relevant stakeholders.

Proven experience as a Data Analytics or Data Science role at least 5 years of in a client-facing/technical solutions consulting.

Data analytics related skills is a must. (Python, SQL, etc.)

Experience delivering presentations and demonstrations to business and technical audiences.

High quality organizational and leadership skills.

Have a minimum of above 4 years of experience in Internal Audit or Risk Management.

Project and people management capabilities

Provide preliminary data analysis reports, extracts, or searchable records for Audit Leads, stakeholders, or management

Proven ability to articulate complex concepts in a concise manner in both written and verbal presentations across all levels of management

Good knowledge and experience of the financial services industry

Manage internal relationships across functions to better understand the business and its risks

People management – track record of hiring and developing stars

Manage a multi-million dollar budget and provide visibility to internal stakeholders

Inspire and coach a team of analysts and campaign managers and expand it by hiring talent

Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus

Excellent analytical skills – you really need to love data for this role

Exposure to IT and Product Development – basic coding skills a plus

Consumer Banking Data Management Specialist

Collaborative Skills: Working closely with business team to provide actionable insights

Bachelor's degree with min. 3 yrs experience in similar role

Skilled in using Excel, SQL and programming languages like Python or R

competitive benefits package and professional advantages

Data Visualization: Presenting analyzed data in the form of charts, graphs, and reports to communicate findings and trends effectively

Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.

1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics

Good knowledge in creating a workable business dashboard.

Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).

Good communication skills in Bahasa and English. Mostly explaining technical things.

Design and develop scalable business data solutions across the entire data supply chain.

3. Experience as a supervisor for desk audit / data analytics

4. At least 3 Year(s) of working experience in the related field is required for this position.

1. Responsible for the overall Desk Audit & Data Analytics process

2. Responsible to maintain daily and weekly report;

3. Coordinate collaborations with other departments;

1. Candidate must possess at least a Bachelor's Degree in any field;

Having 3-5 years experience in HR Analyst/Data Analyst

Excellent communication skills, analytical skills.

Analyzing data related to manpower productivity & cost

Support HR in data mining

Engaging with projects & related department

Bachelor or Master Degree of SI, Accounting, Mathematic, etc.

Stay abreast of industry best practices, emerging trends, and cutting-edge technologies in data analytics, continuously expanding knowledge and skills.

Solid understanding of data management principles and best practices.

Years of professional experience in data analytics or a related role.

Strong data visualization skills using tools like Tableau, Power BI, or similar.

Excellent communication and presentation skills to convey complex findings to both technical and non-technical audiences.

Demonstrated problem-solving and critical-thinking skills, with a passion for finding innovative solutions through data analysis.

Understanding business requirement and plan solution to address data needs

Manage and utilize the Data Analytics platform (Tableau, Power BI, Qlik, …) to extract meaningful insights from it

Extensive experience in developing and managing dashboards and reports in Data Analytics tools like Tableau, Power BI, Qlik, etc.

Excellent analytical skills to forecast and predict trends and insights using past and current data

Knowledge of data architecture, data modeling, data mapping, data analysis, and data visualization

Enterprise-level experience in data presentation through various bars/charts/models/dashboards

1-3 years of analytics experience in data analytics or any other related fields

You have to be curious and hungry to learn, as well as excited to share knowledge with other team members

Experience in collaborating with people outside your domain to deliver impact

Experience in conducting experimentation is a plus

Track and measure the impact of implemented initiatives, providing regular updates on the effectiveness and outcomes of data-driven strategies

Partner with cross-functional teams to define success metrics, create approaches to track the data, quantify and evaluate the data

Experience to manage & supervise team

Create appropriate documentation for analytics knowledge library, including business flow, business process and data flow

5+ years’ work experience as a Business & Data Analyst or in a related field

Experience in Agency, especially for CRM category

Sufficient analytical skills to identify trends, patterns, and insights from data and to make data-driven decisions

Good communication & presentation skill

Essential Skills and Experience (1-5 years’ experience)

Some knowledge of finance, accounting, or ERP systems.

Technology/technical experience of insurance industry is preferred.

Experienced in data structures (SQL, ETL, SSIS) for data analytics processing.

Experience as ETL / Data Engineer will be advantaged

Experience in using statistical packages for analysing data (Excel, R, Python, SPSS, SAS) is a plus point.

Adequate project management skills, including schedule, scope, issue and risk management experience, change management, planning and analysis

Exceptional communication skills and stakeholder management experiences.

Follow risk management and compliance procedures.

Analytical and problem-solving skills combined with experience in leveraging data analytics to drive insights and business decisions.

Good problem solving skills, can work with confidence unsupervised, and able to manage multiple concurrent work streams.

Manage work streams and project deliverables with other team members.

Manage relationships with senior management.

Knowledge of banking regulations (OJK and BI).

Strong English communication and presentation skills.

Establish and lead the Audit Data Analytics team.

Develop analytics for internal audit strategies.

Monitor banking activities and create a dashboard.