Data Analyst (EDA) | Hybrid

Rising Tide Digital, Inc.; Mandaluyong; On-site; PHP 500,000 - 800,000; Full time

Job summary

Rising Tide Digital, Inc. is seeking a data analytics professional to collect, clean, and prepare data from multiple sources, ensuring accuracy and consistency for analysis.

You will perform Exploratory Data Analysis to identify trends, then translate findings into actionable insights, and build reports and dashboards with Power BI, Tableau, or Superset for cross-functional teams. Collaborating with Marketing, Sales, and Operations, you’ll support data-driven decisions and contribute to data

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 3–5 years of experience in Data Analytics, BI, Data Engineering, or related role.
• Strong experience in Exploratory Data Analysis (EDA), including trends, correlations, anomalies, and data quality issues.
• Proficiency in SQL and working with relational databases.
• Experience with data visualization tools such as Power BI, Tableau, or Superset.
• Knowledge of Python or R for data analysis is preferred.
• Familiarity with data warehousing platforms like Snowflake, BigQuery, or Redshift is advantageous.
• Experience in e-commerce, marketing, finance, or similar industries is a plus.

Responsibilities

• Collect, clean, organize, and validate data from multiple sources.
• Ensure data accuracy, completeness, and consistency before analysis.
• Support the maintenance of databases and data systems.
• Perform Exploratory Data Analysis (EDA) to understand datasets and identify trends, patterns, relationships, and anomalies.
• Translate analysis results into actionable insights that support business decisions.
• Create reports, dashboards, charts, and other data visualizations.
• Present findings to stakeholders and collaborate with cross-functional teams.

Skills

SQL

EDA

Python or R

Data cleaning

Data profiling

Data analysis

Education

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Information Technology, or a related field

Tools

Power BI

Tableau

Superset

Job description

Data Collection & Preparation

• Collect, clean, organize, and validate data from multiple sources.




• Ensure data accuracy, completeness, and consistency before analysis.




• Support the maintenance of databases and data systems.

Exploratory Data Analysis (EDA)

• Perform Exploratory Data Analysis (EDA) to understand datasets and identify trends, patterns, relationships, and anomalies.




• Use statistical techniques to analyze data and uncover meaningful insights.




• Perform data profiling, data cleaning, and validation to improve data quality.




• Translate analysis results into actionable insights that support business decisions.

Reporting & Visualization

• Create reports, dashboards, charts, and other data visualizations.




• Present findings in a clear and easy-to-understand format.




• Ensure reports and dashboards are accurate and delivered on time.

Collaboration

• Work with Marketing, Sales, Operations, and other teams to understand their data and reporting needs.




• Communicate findings and recommendations to both technical and non-technical stakeholders.




• Support teams in making data-driven business decisions.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Information Technology, or a related field.




• 3–5 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a related role.




• Strong experience in Exploratory Data Analysis (EDA), including identifying trends, patterns, correlations, anomalies, and data quality issues.




• Experience in data cleaning, data profiling, statistical analysis, and interpreting large datasets.




• Proficiency in SQL and working with relational databases.




• Experience with data visualization tools such as Power BI, Tableau, or Superset.




• Knowledge of Python or R for data analysis and EDA is preferred.




• Familiarity with data warehousing platforms such as Snowflake, BigQuery, or Redshift is an advantage.




• Experience in e-commerce, marketing, finance, or similar industries is a plus.