Company: Data Ikseer LLC
Location: Saddar, Karachi, Pakistan (Onsite)
Type: Full-time | Team: Engineering / Automation / Analytics
Pay: PKR 50,000 – 70,000 per month
Role Title
Automation & Analytics Developer (AppSheet + Apps Script + VBA + Power BI)
(Software Engineer mindset | one multi-skill candidate)
About the Role
Data Ikseer is hiring one hands-on, multi-skilled candidate who can build end-to-end automations and reporting solutions. This role blends AppSheet app development, Google Apps Script engineering, Excel VBA automation, and Power BI dashboarding—with added value from Make/Zapier-style integrations and AI-based workflow implementation.
You’ll work directly with operations and business stakeholders to design systems that reduce manual work, improve accuracy, and deliver actionable insights.
What You’ll Do (Key Responsibilities)1) AppSheet + Google Workspace Automation
- Build and maintain AppSheet apps (forms, workflows, UX views, security roles, validations).
- Develop Google Apps Script solutions across Google Workspace: Sheets, Docs, Forms, Drive, Gmail, Calendar.
- Create custom menus, sidebars, triggers, approvals, and document generation workflows.
- Build lightweight internal tools and Apps Script web apps (HTMLService).
2) Spreadsheet Automation + VBA
- Develop and maintain Excel VBA macros for reporting, consolidation, formatting, automation, and PDF exports.
- Design scalable spreadsheet models in Google Sheets + Excel using advanced formulas, structured data validation, and clean layouts.
- Align Excel/VBA and Apps Script workflows where needed.
3) Integrations + Modern Automation Tools
- Integrate external systems using REST APIs (JSON) with authentication (OAuth2 where needed).
- Build reliable automation pipelines using tools like Make (Integromat), Zapier, or similar platforms when suitable.
- Implement logging, error handling, retries, and performance optimization.
4) Power BI + Data Analyst Mindset
- Build Power BI dashboards with clean models and insights-focused visuals.
- Create measures in DAX, apply proper relationships, and optimize performance.
- Translate business problems into KPIs, trends, and actionable reporting.
5) AI-Assisted Implementation (Practical)
- Use AI tools/LLM concepts to improve workflows such as:
- smart classification/tagging, summarization, extraction
- content generation with approvals
- validation and anomaly detection support
- Ensure privacy, accuracy, and auditability in AI-driven workflows.
Must-Have Requirements
- AppSheet + Apps Script: experience building real workflows (apps + automations).
- VBA: strong Excel automation skills with maintainable code and proper error handling.
- Power BI: dashboards + DAX basics to intermediate, modeling mindset.
- Strong spreadsheet skills (Google Sheets + Excel): lookups, arrays, regex, date/time logic, dynamic ranges.
- API integration basics: REST/JSON, pagination, rate limits, retries.
- Strong communication and ownership: can scope, build, test, deploy, document, and support solutions.
- Software Engineer mindset: clean structure, reusable components, debugging discipline.
Nice-to-Have
- Google Cloud basics (Cloud Functions/Run, BigQuery, Scheduler)
- Git/clasp, CI basics, linting/testing practices
- Make/Zapier expertise
- UI/UX sensitivity (AppSheet UX + Apps Script HTML UI)
- Eager to learn new tools and expand the automation stack
Workplace & Schedule
- Onsite: Saddar, Karachi
- Working hours: 9:00 AM – 6:00 PM (1-hour lunch), 5-6 days/week
- Probation: 3-6 months
Benefits
- Performance bonus, health coverage
- Learning stipend / certifications
- Modern gear and a collaborative environment
- Internal upskilling support
Hiring Process
- 2–3 minute intro call
- 20–30 minute interview (camera on)
- Practical take-home task (small AppSheet + Apps Script/VBA + logging)
- Onsite technical interview + UI review
- Offer & references
Job Type: Full-time
Pay: From Rs70,000.00 per month
Application Question(s):
- Have you completed your Bachelor’s degree, or at least two years of study in a technical field?
Work Location: In person