RBC Capital Markets

- Lead the requirements gathering and creation of data quality rules for a new regulatory initiative (T+1).
- Manage 2 contract workers in drafting requirements, reviewing data lineage and creating be-spoke data quality rules across multiple quality 
 dimensions.
- Built a Tableau report all data quality controls created with meta-data on schema and other useful data elements to help reduce the time in the drafting of new data controls by 20%
- Built a Python script to Extract Deeply Nested JSON from S3 and Tranform into a CSV format for easy processing and analysis. (Avg size of data set is 600MB across 10 different instances with over 10 different critical data elements)

Senior Data Analyst

• Resolved a data quality issue of missing maturity dates on outstanding loans with a material impact of 122 billion USD.
• Collaborated with finance and regulatory reporting stakeholders to implement business requirements, resulting in a 25% increase in data quality and adherence to compliance guidelines as part of an enhanced enterprise data governance framework.
• Utilized Tableau to create an intuitive schema and data quality report, leading to a 35% enhancement in departmental rule design efficiency at RBC Capital Markets.
• Engineered data pipeline processes using Airflow and Python, reducing data processing times by 30% for faster insights delivery and improved efficiency in strategic decision-making.
• Collaborated with Regulatory Reporting and Finance IT stakeholders to enhance data quality and efficiency using DBT, resulting in a 25% reduction in data-related errors.
• Developed SQL data models on a cloud data warehouse and administered a Dremio data lake, handling over 10TB of data.

Data Analyst

Data Achievers

•  Worked with a variety of clients to support business intelligence reporting and data quality assurance.
•  Monitored product performance and customer satisfaction metrics to identify areas of improvement, resulting in a 40% increase in user engagement and a 25% increase in revenue.  
• Developed and maintained product roadmaps and feature backlogs, resulting in a 30% increase in team efficiency and a 20% increase in project success rate. 
• Created and maintained product dashboards and reports for job seekers, resulting in a 25% reduction in decision-making time and a 15% increase in data accuracy.

Analytics Engineer Consultant

TALENT™ (Ontario Tech Talent)

• Supported a self-paced, self-directed skills development experience (“Self Paced Experience”) for students looking to upskill in data analytics;
• Asynchronously engaged with learners (e.g. discussion forum moderation) via email, chat, or LMS like Canvas
• Provided 1:1 learner support every week; offered as virtual appointments booked through Calendly
• Effectively and efficiently verified customer skill acquisition by way of reviewing all artifacts and other work products presented for verification by learners against approved standards
• Recorded skills verification decisions in TALENT’s system of records

Skill Coach

• Demonstrated exceptional communication skills and exercised diligence in identifying delinquent loans, credit cards, credit lines, or mortgages, and referred clients to Collections.
• Established and maintained relationships with individual or business customers by offering value through every interaction.
• Identify fraudulent transactions at the first point of contact and work with AML and Fraud teams to investigate the transaction to ensure minimal client impact.
• Actioned solutions relevant to client banking needs, with a 30% action rate weekly, to support team goals.

Banking Advisor

IKEA

•	Monitored progress of customer orders on ERP dashboard to effectively meet order picking targets in real time.
•	Collaborated with cross-functional teams of technicians, customer service and operations to ensure customer delivery problems were solved in a timely manner
•	Produced reports for weekly performance meetings to evaluate achievement of Key Performance Indicators.

Warehouse Technician

Walmart Canada

•	Provided exceptional customer service to clients on the sales floor, ensuring that all their questions are answered promptly and efficiently.
•	Acted as the first point of contact to customers' challenges with finding merchandise on the sales floor.
•	Contributed to team success by supporting colleagues with their workload to effectively deliver on customer promises.
•	Built and maintained a strong relationship with colleagues to improve the quality of work and increase customer satisfaction.
•	Managed safety risk on the sales floor by proactively identifying and removing potential safety issues.

Fulfillment Associate

Fond Regional Pour La Promotion de la Sante du Centre (FRPSC)

• Implemented an analytical framework that reduced transportation costs by 20% by determining the best delivery route for urgent medicine delivery across geographical regions.
• Built dashboards using Tableau to help track Key Performance Indicators (KPIs) thereby increasing visibility on key business metrics.
• Conceptualized a new service delivery design which when implemented improved service levels by 25%.
• Analyzed 6 business processes to collect measurable data.
• Improved the existing demand forecasting software performance by modeling data sources to be compatible with schema.
• Maintained inventory ERP system by ensuring consistency between inventory on-hand and inventory in the system

Supply Chain Data Analyst

Cam-Green

• Planned and developed content strategies.
• Built strong relationships with project team members and stakeholders to ensure the achievement
of set goals.
• Assessed business opportunities and develop strategies to attract venture capital.
• Responsible for drafting a business plan for validating the business model.
• Provided consultation on planning and starting new businesses.
• Prepared business proposals and reports for presentation to stakeholders.
• Conceived and implemented a sales development program for the launch of the project which led
to a 110% achievement of the sales target.
• Developed media campaigns across social media outlets and campus bulletins which galvanized
support from key government officials.
• Worked closely with the project manager to ensure that sales and marketing efforts are consistent
with project goals.
• Complaint with established guidelines set by the University Board sponsoring entrepreneurial
initiatives.

Social Media Manager

I help entry-level, non-technical professionals get their first data analyst role | Data Analyst @RBC | Data Career Coach

I love to identify hidden business opportunities that lie in data and bring them to life with compelling visualizations.  I spend time setting clear goals, plans of action, and risk mitigation strategies for data analytics projects before even collecting data. 

I am a data analytics professional with a strong background in supply chain and marketing. I am passionate about data engineering. I love a good journey🚘, be it a journey in an RV truck across country, a learning journey📝 , or a customer journey with multiple touch points, or a data pipeline from source system to end user application. I am always curious to know what I can learn about a customer's journey to ensure it is seamless.😊

At RBC I have developed my customer-focused problem-solving mindset at the awareness stage and consideration stages of the business's marketing funnel. I worked closely with partners across the delivery channels (branch and telephone) to deliver exceptional customer service to clients to meet their banking needs. 

At RBC Capital Market, as a Data Analyst/ Data Steward, I owned the process of ensuring data sent to report owners are fit for purpose (without data quality issues). Build data quality rules using SQL. Build Tableau dashboards to monitor data quality of critical data elements (CDE's) in production 

My experience working with cross-functional teams and creating a sense of synergy in the achievement of a common goal has proven to be a valuable value add. I helped in the resolution of data quality issues by proposing changes to how data is transformed both upstream and downstream.

I am always on the lookout for technologies that improve my workflow; I will take a week or so and dive deep into a data technology to see if it’s a good fit for a side project I'm working on and put aside if not. 

When I'm not working I am with my family making sure we are living every moment and making it count. You can also find me with my headsets listening to the next big rising artist of our generation and exploring new genres of music - I am a big lover of Afrobeats and Cameroonian cuisine 🇨🇲 

---
Current Status: Helping folks get their First Data Analyst roles - DM me to learn more

I’m happy to share that I’m starting a new position as Senior Data Analyst at RBC Capital Markets!

Peter Ndiforchu

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So many people think “Data Analyst” is the only role.

It should be as clear as day. Yet...

For far too many, it feels like the only option.

The data analytics field is booming with specialized roles.

Even a simple shift in focus can open new doors.

But it's more than just titles.

It's about:

→ Discovering roles like Risk Reporting Analyst & GIS Analyst.
→ Exploring industries like healthcare, gaming, & logistics.
→ Matching your unique skills to niche responsibilities.

And here's the thing:

Limiting yourself to “Data Analyst” isn't just missing out.

It's also missing opportunities.

When you think beyond the obvious:

→ Job matches improve.
→ Market competition decreases.
→ Industry needs are met.

A specialized role is a hidden gem.

So, analysts, here's your wake-up call:

Think about skills and impact, not just titles.

Because when you find the right fit, everyone wins.

✅🤝Follow for related content on growing your data analytics career
---
P.S: Comment "Analyst Roles" to get access to my database of "Analyst" Roles with Skills Analysis.

25 HOT Data Analytics Job Roles

2024: A year of breaking career boundaries, one data analyst at a time! 🚀

This year taught me something profound: your greatest professional impact happens when you help others rise while you climb. 

From technical practitioner to industry mentor, 2024 was a wild ride of growth - both in my career at RBC and in my personal life. 

Welcoming a new family member while advancing to Senior Data Analyst showed me that meaningful progress isn't about titles, it's about impact. 🙏🏾

Three posts that captured our data analytics community's heart this year:

➡️ "Stop Limiting Your Career: Why Job Titles Are Holding You Back"

Skills are your real currency, not job titles. Your search strategy matters as much as your skills.
https://lnkd.in/e3Rpcqm8

➡️ "You Are Limiting Your Data Career Opportunities"

Every organization defines roles differently. Focus on skills, not just labels.
https://lnkd.in/e7JK8Nt4

➡️ "Meta's New Data Analytics Certification Launch"

Some courses don't just teach - they transform careers.
https://lnkd.in/ecR-9m-Y

Key 2024 milestones:
• Promoted to Senior Data Analyst at RBC Capital Markets 📊

• Achieved 5-star rating helping 100+ data career transitions 🌟

• Welcomed a new family member (best project yet!) 👶🏾

• Earned certifications in AI, Project Management, and Data Engineering 🧠

2025 mission: Continue expanding opportunities for aspiring data analysts. More mentorship, more practical resources, more real-world impact.

To every person who trusted me with their career journey this year - you've been my greatest teachers. 

Thank you for making 2024 extraordinary. 🙏🏾

Your entire life will change when you realize this truth:

Career growth happens in the driver's seat, not the passenger's.

I spent years:

→ Seeking permission
→ Hoping for recognition 
→ Waiting for promotions 
→ Expecting opportunities 

Until I learned: 

The best opportunities are created, not given.

The power shift happens when you:

→ Champion your achievements
→ Create your opportunities
→ Own your development
→ Build your network
→ Define your path

Remember: You are the CEO of your career.

The choice is yours.

Share this post if you're ready to take control of your career journey in 2025! 🚀

At first, I thought I knew everything.

SQL? Easy.

Tableau? Just drag and drop.

Python? Piece of cake.

But the truth? I barely scratched the surface.

When I started learning technical skills for data analytics, the Dunning-Kruger effect hit me like a ton of bricks.

I thought I was "pretty damn sure I knew a whole lot."

But the more I learned, the more I realized how much I didn’t know.

It was humbling.

And that humility changed everything.

Instead of trying to look like an expert, I leaned into being a beginner:

→ I took Danny Ma’s Serious SQL course and tackled real-world case studies.

→ I shared my messy progress and learned from others in the community.

→ I let go of perfection and focused on growth.

Here’s what I discovered:

The beginner mindset isn’t a weakness. 

It’s your greatest asset.

→ It pushes you to:

→ Ask questions without fear.

→ Dive deeper into concepts instead of skimming the surface.

→ Stay curious instead of complacent.

Every line of SQL code I wrote taught me something new.

Every Tableau chart I built helped me connect the dots.

Every Python error made me a better problem-solver.

So here’s my advice:

It’s okay to be a beginner. Everyone starts somewhere.

And if you stay open to learning, you won’t stay a beginner for long.

What’s the last skill that humbled you and made you grow?

♻️ Repost if you resonated with this post.

Data skills will get you hired. But communication will get you promoted

Years ago, when I started guiding individuals into data analytics careers, I thought the technical skills would make or break a professional.

→ SQL. 

→ Python. 

→ Excel. 

→ Visualization tools (Tableau/PowerBI)

And yes, they matter—you won’t get far without them.

But here’s the truth I’ve learned after a decade in this field:

The professionals who thrive aren't just great at solving problems.

They’re great at communicating those solutions.

Imagine this:

You spend days analyzing sales data, uncovering an insight that could save your company $1 million next quarter.

But when you share it with leadership, the impact gets lost:

Too much technical jargon.

Insights buried in complex charts.

No clear “so what?” or actionable recommendation.

The result?

A golden opportunity overlooked because the message didn’t land.

Here’s what I tell my clients:

Data storytelling = technical expertise + human connection.

1. Problem-solving is about the what:

→ Can you identify trends, gaps, and opportunities in data?


2. Communication is about the so what:

→ Can you frame those insights in a way decision-makers understand and act on?


It's not enough to find the answers.

You need to make them matter.

The next time you present data:

↳ Start with the problem.

↳ Share the insight (clearly and simply).

↳ End with the impact: “Here’s why this matters, and what we can do next.”

Because as a Data Analytics Professional, your true power lies not just in solving problems—
but in inspiring action with your solutions.

What do you think?

Which skill do you find more challenging: problem-solving or communicating insights?

See you in the comments 👇🏽

You're approaching data analytics job search all wrong.

Here's how to change that in 2025!

I've reviewed 60+ analytics portfolios, and here's what I've noticed:

Everyone's copying everyone else.

This is what I'm really passionate about:

Helping you stand out in 2025.

Here's my advice:

→ Focus on solving real business problems
→ Stop building cookie-cutter projects
→ Document your learning journey
→ Share your unique insights
→ Build in public

The market is crowded. But there's always room for excellence.

Remember that!

What's your plan to stand out from the crowd in your data analytics job search in 2025?

---
P.S.: Comment "PLAN" and I'll send you a detailed plan to stand out in 2025! 💫

I couldn't help but laugh at my past self... 😅

Starting data analytics with Python was like trying to run before walking.

Here's the thing: 

→ SQL is closer to English 

→ It builds on Excel knowledge 

→ You'll use it EVERY. SINGLE. DAY.

The best part? 

It's like Excel's cooler cousin - familiar enough to feel comfortable, but powerful enough to blow your mind!

Who else wishes they'd started with SQL? 

Share your journey! 🤗

What I wish I knew about specialization

When I started as a Data Analyst, everyone said, “Pick a niche.” It sounded logical. 

Master one thing and succeed.

But over the years, I’ve learned something different. 

Versatility matters.

At a pharma company, I worked on supply chain issues. 

Later, I tackled data quality at RBC Capital Markets. 

Each role taught me the same lesson: connecting the dots is key.

You don’t have to do everything. But understanding the bigger picture gives you an edge.

If you’re starting in data analytics, don’t limit yourself. 

→ Learn broadly. 

→ Take on challenges. 

→ Build skills that adapt.

What was your path into data analytics? 

Technical background or business?

---
P.S. I’ve noticed business backgrounds often thrive in data analytics. Have you?

Future-Proof your career with these game-changing skills.

2025 is almost here.

The world has shifted.

↳ AI dominates.

↳ Sustainability drives decisions.

↘ Risk management is non-negotiable.

Inspired by insights from the Coursera Job Skills Report 2025, the trends are clear:

The winners of tomorrow are preparing today.

→ Are you ready to step up?

↗ 3 Skills You Can’t Ignore

1️⃣ AI Skills

→ Master Generative AI (GenAI)—be a creator, not an observer.

↳ Tools like PyTorch and MLOps will define success.

↘ Don’t skip data ethics—it’s your edge in a tech-driven world.

2️⃣ People Skills

→ Communication is everything.

↳ Stakeholder management and assertiveness aren’t just soft skills—they’re power skills.

↘ Embrace sustainability—business continuity and disaster recovery are now essentials.

3️⃣ Business Skills

→ Protect the future with risk management and cybersecurity expertise.

↳ Lead with PMI methodologies and own the room with digital communication.

↘ These aren’t trends—they’re your survival tools.

↘ Why This Matters

The Coursera report shows the urgency:

→ Employers are investing in these skills.

↳ Leaders are hiring for them.
↘ Professionals who don’t adapt? They’ll fall behind.

→ What’s Your Move?
The roadmap is here.
→ Learn. Adapt. Grow.
The future isn’t waiting—it’s here.

👇 Your turn: 

What skill will you master in 2025? Let’s talk.

Coursera Job Skills Report 2025

The job search game isn’t about fixing your flaws—it’s about showcasing your superpowers.

I recently came across some powerful insights from Aravind Srinivas, CEO of Perplexity.

He shared the importance of focusing on your strengths instead of trying to fix all your weaknesses.

These lessons are incredibly relevant, especially if you're navigating the job search process.

Here’s the thing:

↳ Some people create stunning slide decks that blow everyone away.

↳ Others? They might struggle with decks, but they shine when building incredible product demos.

The same goes for your job search:

↗ You might feel like you're not the best at crafting a resume that tells your story.

↘ But maybe you excel at creating portfolio projects with jaw-dropping UI/UX that speak louder than words.

Here’s the takeaway:

→ Lean into what you’re great at.

Not every piece of conventional advice will work for you.

And that’s okay.

Your journey doesn’t have to look like everyone else’s.

Be bold enough to explore strategies that showcase your unique brilliance.

Remember:

Job search success isn’t about fitting into a mold.

It’s about finding ways to let your strengths shine.

What strengths are you leaning into today?

Image credit: Forbes

You can learn anything these days for very cheap.
 
But here’s the question:
 
With so many resources available, why do people still struggle to learn?
 
The answer is simple → structured learning.
 
Here’s what’s happening:

We live in a time of information overload.

Everywhere you look, there’s content:
 
→ A new course on a skill.
 
→ A tutorial for a tool.
 
→ A guide for a trade.
 
And yet... most people don’t finish what they start.

They fall victim to shiny object syndrome → jumping from one thing to the next but never reaching the level of application.
 
That’s why I started coaching folks breaking into data analytics.

I focus on:
 
→ Personalized skills assessments
 
→ Clear, structured learning plans
 
The results?

Most people notice immediate progress because clarity and focus eliminate the guesswork.
 
And here’s a hack for the AI age:
 
Use tools like NotebookLM to take your favorite content creator’s insights → summarize them → and learn in a way that works for you.
 
 If you’re looking to upskill into roles like:

→ Data Analyst
 
→ Data Scientist
 
→ Business Intelligence Analyst
 
There’s never been a better time.
 
You don’t need a college degree anymore.

What you do need:
 
 → A learning mindset.
 
 → A stable internet connection.
 
 → A laptop.
 
That’s it.
 
The resources are here.

The opportunity is waiting.

What are you waiting for?
 
Go make your dreams a reality.

---
P.S.: DM "PERSONALIZE" to get a personalized learning plan for your data analytics learning journey.

2024 in review: The surprising career lessons hidden in 2,575 comments."

The old path:

→ Linear career progression

→ Fixed role definitions

→ Limited growth potential

The new reality:

→ Skills-first approach

→ Flexible career paths

→ Unlimited possibilities

Why does this matter?

Because the future belongs to those who adapt, not conform.

Remember: Your career is a canvas, not a ladder.

What’s one conventional career belief you’re ready to challenge?

---
P.S.: Forget Spotify Wrapped, LinkedIn Unwrapped has never been easier with cleve.ai/unwrapped.

LinkedIn Unwrapped 2024

Google vs. OpenAI: The Tug of War for Agentic AI Supremacy

As Google and OpenAI compete to redefine Agentic AI, I find myself wondering: 

How can these advancements make me more efficient as a data professional?

Here’s a quick timeline of their recent launches, showcasing the future of autonomous, action-oriented AI:

🔹 OpenAI's Highlights

1. Operator (Jan 2025): A browser-savvy AI agent for tasks like software development and booking travel.


2. ChatGPT Pro (Dec 5, 2024): Enhanced reasoning with o1 Pro mode access.


3. Swarm (Oct 2024): Practical applications of agentic AI in the real world.

🔹 Google's Highlights

1. Gemini 2.0 (Dec 11, 2024): Revolutionizing action-taking AI for users.


2. Project Astra: A universal assistant integrating Search, Lens, and Maps.


3. Project Mariner: Agentic AI-powered web navigation.


4. Deep Research: Advanced research assistance for complex topics.


5. Gemini 2.0 Flash: A high-speed solution for volume-heavy tasks.


6. Jules: An AI coding assistant for developers.

These innovations aren’t just impressive—they’re transformative for data professionals. 

Here are 9 ways Agentic AI can help you excel:

1. Autonomous Data Preparation: Save hours by automating data exploration, cleaning, and enrichment.


2. Conversational Analytics: Ask nuanced questions in natural language, no code required.


3. Automated Hypothesis Testing: Quickly identify trends and validate theories for smarter decision-making.


4. Real-Time Anomaly Detection: Spot and address risks immediately.


5. Predictive and Prescriptive Analytics: Forecast outcomes and optimize strategies.


6. Root Cause Analysis: Get to the bottom of data anomalies effortlessly.


7. Custom Reports & Narratives: Generate clear, actionable insights tailored to your audience.


8. What-If Scenarios: Simulate future outcomes to refine plans and decisions.


9. Multistep Workflows: Automate complex processes, freeing you to focus on strategy and innovation.

Agentic AI is more than just a buzzword—it’s the future of data analytics. It empowers us to achieve more with less effort, making decisions faster, smarter, and more impactful.

What’s one way you could leverage these advancements to level up in your career?

Registered to join Harpreet first cohort-based style course on Maven.

As a data analytics professional always looking to expand my knowledge on Generative AI with hands-on practice, this feels like a huge steal deal.

I guess I just began my 2025 goal setting on a good note! 😊

Anyone planning to join this cohort? Let's connect and get acquainted.

P.S: I have watched Harpreet's amazing journey in this space unfold over the years and I've been opportuned to be part of his amazing community of data professionals. Looking forward to learning from him.

Open article: Applied Generative AI for Data Professionals by Harpreet Sahota on Maven by maven.com

Applied Generative AI for Data Professionals by Harpreet Sahota on Maven

There is so much power in community💫

My experience with the Tribe Network and Volta  partnership as Founder has been nothing short of amazing!

From connecting with fellow Black founder and sharing experiences to learning from expert on how to navigate the entrepreneurial landscape as a Black Founder in Atlantic Canada, I have learned a ton!

I look forward to more enriching experiences to unlock next level for Data Career Compass (Volta X Tribe Network)

Huge shout out to all the amazing folks at Volta and Tribe Network that make this possible 

Alfred Burgesson 
Matt Cooper
Katerina Msafari, AFM, FMVA® 
Julia Ramirez

Meet the 17 founders from Tribe’s Accelerate BlackTech Cohort in Atlantic Canada 🌟.

Accelerate BlackTech is a joint accelerator program between Tribe Network and Volta for Black Tech founders in Atlantic Canada.

This program allows founders to gain the skills, insights, and hands-on experience they need to develop prototypes, secure funding, and scale their businesses successfully.

Over the last seven months, our Accelerate Black Tech founders have demonstrated remarkable dedication to their startups. They’ve navigated the complexities of founder-led sales, laid strong operational foundations, and taken significant steps toward investment readiness.

Many have progressed from designing their product to developing their Minimum Viable Product (MVP), turning their visions into tangible solutions.

We're proud of all these entrepreneurs as they shape the future through technology, entrepreneurship and innovation.

#BlackEntrepreneurship #techstartups #InnovativeEntrepreneurs #TribeNetwork

Taplio

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