INFOPARK

Business Intelligence (BI) Analyst

We are looking for a detail-oriented and analytical Business Intelligence (BI) Analyst with a strong technical understanding of full-stack web applications to transform data into actionable business insights. The ideal candidate will be responsible for tracking, analyzing, and visualizing website, application, marketing, and business performance data, building dashboards, and providing recommendations that support strategic decision-making.

This role requires strong expertise in GA4, dashboard creation, data analysis, digital marketing analytics, and understanding of full-stack web application architecture. The candidate will work closely with development, marketing, sales, and leadership teams to identify trends, troubleshoot data issues, and improve business outcomes.

Key Responsibilities

1. Analytics & Reporting
- Manage and maintain Google Analytics 4 (GA4) implementations.
- Configure and monitor events, conversions, tracking parameters, and user interactions.
- Analyze website, web application, and campaign performance data.
- Generate reports and actionable insights for stakeholders.
- Monitor KPIs and identify trends, opportunities, and risks.

2. Dashboard Development
- Design and maintain interactive dashboards using Looker Studio and other BI tools.
- Integrate data from GA4, CRM systems, advertising platforms, APIs, databases, and spreadsheets.
- Develop business and executive-level dashboards.
- Ensure data accuracy, consistency, and reliability across reports.

3. Full-Stack & Technical Analytics
- Understand full-stack web application architecture, including frontend, backend, APIs, databases, and data flow.
- Work with technologies such as React, Python, Node.js, or similar frameworks.
- Understand REST APIs, SQL, and frontend-backend integration.
- Collaborate with developers to implement and troubleshoot GA4, GTM, events, conversions, and data tracking.
- Identify and resolve data inconsistencies between applications, databases, and analytics platforms.

4. Marketing Analytics
- Analyze digital marketing performance across SEO, PPC, email, social media, and other channels.
- Track customer acquisition, engagement, conversion, and retention metrics.
- Evaluate campaign effectiveness and provide optimization recommendations.
- Support attribution and marketing ROI analysis.

5. Data Analysis & Insights
- Translate complex datasets into clear business recommendations.
- Conduct ad-hoc analysis to support strategic initiatives.
- Identify patterns, customer behavior trends, and growth opportunities.
- Present findings and recommendations to management and stakeholders.

6. Data Governance & Quality
- Maintain data integrity and reporting standards.
- Perform regular audits of tracking and analytics implementations.
- Collaborate with developers to troubleshoot tracking, API, and data collection issues.
- Document reporting methodologies and analytics processes.

Required Skills & Qualifications

1. Technical Skills
- Strong experience with Google Analytics 4 (GA4) and Google Tag Manager (GTM).
- Proficiency in Looker Studio.
- Advanced knowledge of Microsoft Excel or Google Sheets.
- Good understanding of SQL, APIs, and databases.
- Understanding of full-stack web application development.
- Familiarity with React, Python, Node.js, HTML, and CSS.
- Understanding of UTM parameters, event tracking, and conversion tracking.
- Familiarity with CRM and marketing automation platforms.
- Understanding of data visualization best practices.

2. Analytical Skills
- Strong problem-solving and critical-thinking abilities.
- Ability to interpret large datasets and derive actionable insights.
- Strong attention to detail and accuracy.
- Excellent reporting and presentation skills.

3. Soft Skills
- Strong communication and stakeholder-management skills.
- Ability to work independently and manage multiple projects.
- Ability to collaborate with both technical and non-technical teams.
- Curiosity and a continuous-learning attitude.

Preferred Qualifications
- Experience with Power BI or Tableau.
- Experience with CRM systems such as HubSpot, Salesforce, or Zoho CRM.
- Knowledge of SEO, PPC, email marketing, and social media analytics.
- Experience integrating APIs and multiple data sources.
- Familiarity with AWS, Azure, Google Cloud, Snowflake, or BigQuery is an advantage.

Key Performance Indicators (KPIs)
- Accuracy and reliability of dashboards and reports.
- Timely delivery of insights and analytics reports.
- Accuracy of website and application tracking.
- Improvement in campaign performance and conversion tracking.
- Data quality and governance compliance.
- Stakeholder satisfaction with reporting and analytics support.

Ideal Candidate Profile: Someone who combines BI and analytics expertise with a strong understanding of full-stack web applications, including React, Python, APIs, databases, and data flows, and can convert technical and business data into meaningful insights that drive growth.

Social Media Marketing Intern

We are looking for motivated and talented fresh graduates to join our team. The goal of this program is to help further develop your social media marketing skills in a professional work environment. You will be working on hands-on projects and daily tasks that use social media platforms to promote and manage the Company's brand image.

Job Duties and Responsibilities:
• Create and grow social media presence/profiles
• Moderate comments across social media profiles
• Utilize social media profiles to campaign events
• Maintain, post and, update social media profiles such as Twitter, Facebook, LinkedIn, Instagram, and Snapchat with appropriate and appealing content
• Assist with social media analytics and reporting
• Assist in loading/producing stories/creating social media graphics
• Help develop strategies for capturing target audience and current customer engagement
• Other duties as assigned

Requirements:
• Advanced knowledge of popular social media platforms from a brand perspective
• Active on social media platforms is an advantage
• Great creative skill to use to create posters and reels/videos
• Excellent written and verbal communication skills in English
• Highly organized
• Ability to project prioritize and meet deadlines
• Proficient in Microsoft Office
• Bachelor’s degree or currently enrolled in an accredited college or university in marketing or a related field of study

Senior Python Developer

We are looking for a skilled and self-driven Senior Python Django Developer to join our team. The ideal candidate should have strong technical expertise in Python and Django, the ability to manage projects independently, and experience mentoring junior developers.

Roles and Responsibilities

* Develop, maintain, and improve web applications using Python and Django
* Write clean and efficient code using Python, Django, HTML, and CSS
* Work closely with the product and development teams to build and enhance products
* Develop and manage microservices-based applications
* Deploy and maintain web applications in Linux environments
* Troubleshoot bugs and solve technical issues
* Handle multiple projects and collaborate effectively with different teams
* Mentor and support junior developers
* Participate in technical discussions and contribute to software design decisions
* Understand business requirements and build suitable technical solutions
* Stay updated with current development practices and technologies
* Support team growth through technical interviews and hiring

Required Skills and Qualifications

* Minimum 4 years of experience in the relevant field
* Strong expertise in Python and Django
* Good knowledge of Relational Databases
* Experience with Web Services / APIs
* Proficiency in Git
* Strong understanding of software design with a focus on maintainability and scalability
* Excellent problem-solving and communication skills
* Ability to build and manage web applications from start to finish

Preferred Skills (Good to Have)

* Knowledge of Node.js
* Experience with React
* Familiarity with Elastic Stack

Business Intelligence (BI) Analyst – GA & GSC Specialist

About the Role

Aventus Informatics is looking for a Business Intelligence (BI) Analyst to help our clients make data-driven decisions by bringing together data from multiple platforms, transforming it into meaningful insights, and building interactive dashboards. You will work closely with our software development, product, and digital marketing teams to design reporting solutions that provide a unified view of business performance.

Key Responsibilities:
• Read and manage Google Analytics 4 (GA4) and Google Search Console (GSC) to monitor website performance, user behaviour, conversions, and search visibility.
• Gather, consolidate, and synchronize data from multiple sources, including web analytics, CRM systems, databases, APIs, and third-party platforms.
• Build automated dashboards and reports using Looker Studio and other BI tools.
• Design and maintain a single source of truth for business and product reporting.
• Define and implement KPIs, conversion tracking, and performance metrics.
• Work closely with software development teams to ensure accurate event tracking and data collection.
• Validate data quality, identify inconsistencies, and improve reporting accuracy.
• Analyze user behaviour, traffic, conversions, and product performance to provide actionable insights.
• Present findings and recommendations to clients and internal stakeholders.
• Continuously improve reporting frameworks and automate recurring reports.

Required Skills:
• Strong hands-on experience with Google Analytics 4 (GA4).
• Strong experience with Google Search Console (GSC).
• Advanced proficiency in Looker Studio for creating executive dashboards and business reports.
• Demonstrable experience in bringing together and synchronizing data from multiple sources, including APIs, databases, CRM platforms, and third-party applications.
• Experience implementing event tracking and conversion measurement.
• Good understanding of Google Tag Manager (GTM).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Preferred Qualifications:
• 5+ years of experience in Business Intelligence, Web Analytics, or Data Analytics.
• Experience working with a software development or SaaS company.
• Familiarity with REST APIs and data integration concepts.
• Knowledge of SQL and data visualization best practices is an added advantage.

What We're Looking For:
We're looking for someone who can go beyond reporting. The ideal candidate should be capable of bringing together data from multiple business systems, ensuring it is synchronized and accurate, and transforming it into intuitive dashboards that enable better business decisions. This role requires both technical expertise and the ability to communicate insights clearly to technical and non-technical stakeholders.

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to own and evolve our data engineering architecture, ensuring reliable, scalable, and high-quality data pipelines. The role will focus on big data architecture, workflow orchestration using Kestra, canonical data models and catalog schemas, LLM evaluation pipelines, and technical leadership within the data engineering team.

Key Responsibilities:
- Design, build, and maintain scalable data engineering and big data architectures.
- Own end-to-end data pipelines, ensuring reliability, scalability, performance, and data quality.
- Design and manage Kestra workflows for data ingestion, transformation, validation, and downstream processing.
- Build reusable, fault-tolerant workflows with appropriate scheduling, retries, monitoring, alerting, and failure handling.
- Develop and maintain canonical data models, schemas, metadata, and data catalog structures.
- Establish data standards, governance practices, lineage, and quality controls across data assets.
- Design and maintain LLM evaluation pipelines, including dataset preparation, automated evaluation, benchmarking, and monitoring.
- Integrate data pipelines with AI/ML and LLM-based applications where required.
- Optimize data processing, storage, and compute costs across cloud-based environments.
- Implement automated testing and data quality checks across pipelines and datasets.
- Monitor pipeline performance and proactively troubleshoot production issues.
- Work closely with data scientists, ML engineers, software engineers, and product teams to deliver reliable data solutions.
- Conduct technical reviews and establish engineering best practices.
- Mentor junior and mid-level data engineers and contribute to technical decision-making.
- Drive improvements in data platform architecture, automation, observability, and operational reliability.

Required Skills & Experience:
- 5+ years of experience in data engineering or a closely related field.
- Strong experience designing and implementing large-scale data pipelines and data platforms.
- Strong proficiency in SQL and Python.
- Hands-on experience with Kestra or similar workflow orchestration platforms.
- Strong understanding of ETL/ELT, data modeling, data warehousing, and data lake architectures.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with distributed data processing technologies such as Spark.
- Strong understanding of data quality, testing, observability, and pipeline reliability.
- Experience with Git, CI/CD, Docker, and infrastructure/cloud environments.
- Experience designing canonical schemas, metadata models, or data catalogs.
- Exposure to LLM/AI evaluation frameworks and pipelines is highly desirable.
- Strong problem-solving, communication, and technical leadership skills.