We Rise 4 Wellness, Inc

Data Analyst Volunteer (Remote) | We Rise 4 Wellness, Inc.

Nov 2023 - Present

Key Achievements:

Increased program effectiveness by 20%: Identified key performance indicators (KPIs) impacting a well-being program, conducted A/B testing, and implemented data-driven recommendations, leading to a 20% increase in program engagement.

Developed data model for improved decision-making: Designed a comprehensive data model using Power BI, streamlining data access and analysis for leadership, resulting in 15% faster decision-making turnaround time.

Automated reporting for efficient communication: Streamlined reporting processes using Python scripts, reducing report generation time by 30% and ensuring clear communication of insights to stakeholders.

Technical Skills:

Data wrangling & analysis: SQL, Python, Excel
Data visualization: Power BI, Tableau
Statistical analysis: R, Python libraries
Data management: Microsoft SQL Server
Additional Contributions:

Gained hands-on experience in customer insights, business analysis, and data quality initiatives.
Demonstrated strong attention to detail and commitment to meeting project deadlines.
Passionate about leveraging data to drive positive impact. 

Let's connect to discuss how I can support your data needs

Volunteer Data Analyst

Upwork

Upwork Freelance Data Analyst

Key Achievements:

Increased client X's online sales by 18% through targeted social media ad campaign optimization based on market data analysis.

Reduced churn rate by 12% for client Y by identifying key customer pain points and recommending data-driven product improvements.
Developed predictive model for client Z leading to a 25% improvement in lead conversion rate.
Expertise:

Predictive Analytics: Utilized machine learning models to forecast market trends and customer behavior.

Data Visualization: Created compelling dashboards and reports that effectively communicated 
insights to stakeholders.

Business Intelligence: Assisted clients in making informed decisions based on comprehensive data analysis and interpretation.

Additional Skills:

Data wrangling & analysis (SQL, Python, Excel)
Market research & competitor analysis
Communication & storytelling with data
Project management & time management

Passionate about using data to solve real-world problems and drive business growth. 

Contact me to discuss how I can contribute to your success!

Upwork Freelance Data Analyst

The Room

Junior Data Analyst | The Room

Key Achievements:

Increased data processing efficiency by 20% by implementing a new data model, saving the company X hours annually.

Identified a hidden trend in customer behavior leading to a 15% increase in subscription renewals.
Developed interactive dashboard used by leadership to track key performance indicators (KPIs) in real-time.

Expertise:

Data Analysis & Modeling: Proficient in SQL, Excel, Tableau, Python, and basic Machine Learning models. Designed and implemented efficient data models for large datasets.

Statistical Analysis: Conducted in-depth analyses using Time Series Analysis to uncover actionable insights and trends.

Data Visualization: Created clear and compelling reports, presentations, and interactive dashboards for diverse audiences.

Additional Skills:

Data quality control and validation.
Cross-functional teamwork and communication.

Problem-solving and critical thinking.

Passionate about leveraging data to drive impactful business decisions.

Eager to contribute my skills and learn from new challenges.

The Room | Junior Data Analyst 

State Skill Acquisition Center Abia, Nigeria.

Empowering Mothers through Nutrition Education and Data Analysis

Volunteer | State Acquisition Center

My passion for healthy eating led me to volunteer at the State Acquisition Center, where I empower mothers and new wives to confidently prepare nutritious homemade baby food. I've taught over 50 mothers the importance of independent food preparation, resulting in increased confidence and improved knowledge about infant nutrition.

Beyond education, I actively listen to and address individual concerns, fostering a trusting environment.

For instance, I helped a new mother struggling with breastfeeding by suggesting specific nutrient-rich baby food options, leading to a happier and healthier baby.

Furthermore, I leverage data analysis to understand evolving needs and preferences. Analyzing feedback from mothers revealed a growing demand for gluten-free baby food options. I advocated for introducing those options, which were warmly received and improved program satisfaction.

By combining passion, communication skills, and data-driven insights, I empower mothers to make informed choices for their babies' health.  

This experience has further strengthened my commitment to building meaningful connections, fostering knowledge, and utilizing data for positive impact.

State Volunteer

KPMG

Junior Data Analyst Intern | KPMG

Key Achievements:

Reduced data cleaning time by 30% for a client project by developing an automated Python script, saving X hours and ensuring data accuracy.
Identified a hidden trend in competitor analysis leading to a 10% increase in market share for a client, as reflected in their next quarter report.

Collaborated with senior analysts to develop a data-driven marketing campaign for a client, resulting in a 25% increase in lead generation.
Technical Skills:

Data wrangling & analysis: SQL, Python, Excel
Data visualization: Power BI, R (Programming Language)
Data management: MySQL
Machine learning: Exploring basics

Additional skills:

Market research & competitor analysis
Communication & storytelling with data
Teamwork & collaboration
Problem-solving & critical thinking

By combining my technical skills with strong communication and teamwork abilities, I actively contributed to delivering valuable insights to clients. 

This internship solidified my passion for data analysis and my ability to apply it to real-world business challenges.

KPMG (Virtual Internship) | Junior Data Analyst | May - July 2023

BELOVED FOUNDATION

Beloved Foundation: Empowering Women through Digital Skills

Founded in 2021, Beloved Foundation equips women and young girls with the skills they need to thrive in the digital economy. We've successfully trained 150 women in Graphics design, 60 in UI/UX design, and 35 in Data Analysis, empowering them to pursue freelance careers or secure employment in their chosen fields.

Our unique approach goes beyond technical skills. We prioritize customer service training, ensuring our graduates can excel in interacting with clients and maintaining high satisfaction levels.

For instance, one of our graduates, Jane, landed a freelance gig with a marketing agency. After implementing data-driven solutions she learned at Beloved, she increased client satisfaction by 20%, showcasing the impact of our program.

We also integrate data analytics into our curriculum, empowering trainees to understand customer behavior and deliver tailor-made solutions. This equips them to make informed decisions and achieve exceptional results.

Beloved Foundation proudly fosters a new generation of digitally skilled women who are not only competent in their fields but also excel in customer service and leverage data to deliver remarkable value.

Join us in empowering women to build brighter futures!

Founder/CEO

World Bank FADAMA Project, 111 Abia State, Nigeria.

Database Administrator: World Bank Assisted FADAMA Project (Abia State, Nigeria)

Key Achievements:

Implemented a scalable database system managing 2 terabytes of agricultural data, improving data retrieval speed by 35%.
Spearheaded the integration of advanced security protocols, resulting in a zero-incident rate for data breaches throughout my tenure.
Identified key trends through data analysis, leading to a 20% increase in crop yields for participating farmers in the 2015-2016 season.
Trained 40 project personnel on database management best practices, ensuring sustainable data management practices even after my departure.

Database Administrator

AD’MAS Digital Technological LTD, PortHarcourt, Nigeria.

Data-Driven Customer Support Specialist:

Key Achievements:

Analyzed customer feedback data to identify recurring issues and areas for product improvement, leading to a 15% decrease in support tickets.
Maintained a comprehensive database of customer interactions, ensuring data accuracy and facilitating efficient retrieval for informed decision-making.
Utilized data visualization tools to create reports and dashboards, effectively communicating customer trends and insights to stakeholders.
Actively listened to customer concerns, leveraging analytical thinking to identify root causes and propose data-driven solutions.

Data-Driven Customer Support Specialist:

Data whispers secrets, I turn them into game-changing strategies for tech startups and SaaS businesses. 

Remember that health tech startup struggling with customer satisfaction? I helped them increase it by 25% by identifying key pain points through data analysis. 

Boost your bottom line like theirs. 

I offer:

Data Storytelling: I craft compelling narratives that translate complex data into clear, actionable insights, I increased brand awareness by 20% for a client through data-driven marketing campaigns.

Actionable Insights: I don't just analyze data - I turn it into concrete steps for growth. Think about optimizing your customer journey for maximum conversion or identifying hidden opportunities in your user base.

Tech Savvy: I'm proficient in SQL, Tableau, Power BI, Python, and other industry-leading tools.

Imagine:

Optimizing your customer journey for maximum conversion (like I did for a client in Upwork).

Identifying hidden growth opportunities in your user base (like I did for WeRise4wellness Inc).

Making data-driven decisions that boost your bottom line.

Ready to unlock the power of your data? 

Schedule a free consultation to discuss your growth goals: 

https://calendly.com/onyinyechokoli/30min.

Let's script the next chapter of your startup's journey together.

P.S. A client recently said, "Onyinye's data insights were invaluable in helping us achieve our growth targets." - Godsent Ndoma, ZionTechHub.

I used to plan every minute of Monday 
like my worth depended on it.

Projects.  
Social media content.  
Videos.  
Analytics reports.

And before noon?  
I was already exhausted.

Not because I worked too hard.  
But because I started too fast.

Some days, I’d wake at 3 AM 
mind racing, heart heavy 
trying to control everything before the sun rose.

Then I tried something different:

I stopped planning first.  
I started with my energy.

Now, I:
- Put down ideas as they come 
(no pressure to act immediately)
- Rest my head when I need to
- Walk away from AC, Wi-Fi, and noise into silence

And for the first time in years
The day didn’t feel like a race.

It felt like a flow.


Most people think productivity 
comes from perfect planning.

But here’s what I’ve learned:

🔹 You can’t pour from an empty cup.  
🔹 You can’t lead with clarity if you’re running on noise.  
🔹 And you can’t show up for others if you haven’t shown up for yourself.

Real momentum doesn’t start with a checklist.  
It starts with how you enter the day.


Energy first.  
Action follows.


What else do you do 
outside your digital skills
That keeps you grounded?

And if you haven’t yet, 
please check my YouTube channel 
https://lnkd.in/d4_ywSgq
I’m building something real there.  
Your support means the world. 🙏


Onyinyechi Obi (The Analyst)  
Data Analytics & BI Consultant | Helping leaders turn messy data into confident decisions  

#EnergyFirst #MindfulMonday #CalmAuthority #QuietPower #Leadership #IntentionalLiving #StartWithYou #MondayThoughts #DigitalWellness

Onyinyechi Obi (The Analyst)

Remote Strategic Data Analyst | Helping FinTech, SaaS & HealthTech Leaders Turn Data Chaos into Clarity | Decision Intelligence & Growth Analytics | SQL • Python • Power BI • Tableau • KPI Reporting • Data Storytelling

Every Monday, I ask myself one question 

before touching a single report:

What actually needs to happen this week 
versus what just feels loud?

Because here’s the truth 
no one talks about:

In data work, urgency is a performance. 
Not a priority.

So I use my Rule of 3:
Before I write SQL, 
build a dashboard, or reply to
Can this be done by EOD?, 
I ask:
🔹 Will this change a real decision?
🔹 Does it impact more than one team?
🔹 Can it wait 3+ days without breaking anything?

If it doesn’t pass all three?
It goes on my Later list.

No guilt. No FOMO 
(Fear of Missing Out).
Just focus.

Because most urgent requests are:
Someone’s panic turned into my task

A habit (we’ve always reported this)
Or noise dressed up as strategy

And I’m done being busy 
while nothing moves forward.

Now, I protect my energy
like it’s production code.

Not because I’m overwhelmed.
But because clarity starts 
With saying ‘not now.’

If you're tired of doing a task 
because someone panicked

You’re not lazy.
You’re aware.
You are prioritizing your work.

What’s your personal rule for prioritizing work?
Welcome to the Last week of November.

Onyinyechi Obi (The Analyst) 
Data Analytics & BI Consultant | Helping leaders turn messy data into confident decisions 

#MindfulMonday #StartWithYou #DataAnalyst #ClarityOverChaos #WorkSmart #AnalyticsLife #TechProductivity #DecisionFirst #QuietPower

Most analysts skip this step

Then wonder why their 
Insights get ignored.

If you’re scared of text data 
You’ll never see the full story.

The truth is this
No data should scare you.  
No comment should 
Silence your insight.

My boss Ebibowei Nabena at 
The Analyst Hub (TAH) taught me 
something simple that changed 
everything for me

Turn text into numbers.

Not because I wanted 
to remove the details  
But because I wanted 
to measure it.

Because here’s the truth 
Most analysts miss:
You don’t need everything 
to come as numbers.
You just need to know 
How to make them count.

Too many data professionals 
skip over open-ended responses like:

- I love this product. 
- It’s too slow. 
- Maybe next time.

They say:  
There’s no way to analyze this.  

But that’s not true.

When you code:
- ✅ Yes = 1  
- ❌ No = 0  

You turn messy words into clean, 
countable insight.

Suddenly:
- You can calculate satisfaction rates
- Compare trends across teams
- Track changes over time

And yes 
Even complex feedback like 
It works, but only sometimes 
can be broken down into 
structured variables.

Most analysts wait for perfect data.

But real analysts like me  
We work with what we have.

Because if you’re scared of text  
You’ll never see the full story.

No part of the data 
should scare you.  
No comment should 
put you off balance.

If it’s data, you own it.

PS: Today marks the beginning of the last month of the year.

Take a moment to review:
- What decisions did your data drive?
- Where did you grow?
- What skills did you master?

Then preview 2026:
- What insights will you uncover?
- Who will you help decide with confidence?

Don’t just close the year.  
Own it.

How do you handle qualitative data in your analysis?
  
Onyinyechi Obi (The Analyst)  
Data Analytics & BI Consultant | Helping leaders turn messy data into confident decisions  

#DataAnalytics #DataPreparation #QualitativeData #BinaryVariables #DummyVariables #DataCoding #InsightDriven #QuietPower #YearInReview #DataMindset #BIConsultant #DecisionIntelligence

If you’ve ever been “open to work”


You already know that dreaded 
Email starts with one word 

“Unfortunately.”

Yeah. That word that carries a polite sting.

The one that shows up after weeks 
of waiting, refreshing, and believing.

At first, I thought it was an automatic reply 
until I realized, nope, it’s personal.

I’ve received that mail more than a few times.
And these days, it doesn’t move me anymore.

I’ve grown past it.
But it wasn’t always like that.

That moment after the exam
When you know you aced it  
Only to see an "E" staring at you.

No explanation.  
No justice.  
Just shame thrown in your face like it was deserved.

Sound familiar?

Because that’s exactly how I felt when I got that email:

“Unfortunately, we’ve decided to 
move forward with other candidates.”

That one line has a way of turning 
your confidence inside out.

I had poured everything into that application:

- Studied late into the night
- Practiced my presentation 
until my voice cracked
- Built sample dashboards from scratch 
real data, real insight

But here’s the thing, after a while, 
I noticed something deeper.

That “unfortunately” wasn’t just rejection.
It was redirection.

Here’s what rejection really does (if you let it):
 ✅ It humbles you, 
makes you look at your blind spots.
 ✅ It refines you, 
sharpens what really matters.
 ✅ It toughens you, 
builds the kind of grit no praise ever will.

So instead of replaying the pain,
I started reframing the lesson.

I asked myself:
“What if this ‘no’ isn’t proof 
that I’m not good enough 
But proof that I’m growing?”

And from that point, I did three things:
1️⃣ Reviewed every step. 
Where could I have been clearer?
2️⃣ Sought honest feedback. 
Not comfort clarity.
3️⃣ Practiced in public. 
Shared my work. Built in the open. Let growth be visible.

It didn’t feel like progress. It felt like pain.
But now, I’m thankful.

Because those “unfortunately” 
emails forced me to own my voice, 
refine my craft,

and stop waiting for permission to be seen.
Now, when I show up, 
I’m not hoping to be noticed.
I’m showing proof that I belong here.

Rejection isn’t your end.
It’s your refining fire.

Have you ever received that "Unfortunately" mail?

 Onyinyechi Obi (The Analyst)
 Helping Tech Leaders & Startups turn messy data into clear decisions 
#CareerGrowth #Resilience #DataAnalytics #FailureToSuccess #MindsetShift #Leadership #WomenInData #DecisionIntelligence #StartupGrowth #DataDriven

During an interview I had with a 
top fintech company last month, 

They asked me a question that 
touched me exactly where e dey sweet me:

How do you communicate your 
Findings to your stakeholders?

I smiled.
Because that question is the heartbeat 
of data analysis that many people ignore.

You can do the cleanest analysis,
build the finest dashboard,
Use the most advanced tools

But if you can’t explain your findings 
in a language everyone understands, 
You haven’t solved anything.

And let’s be honest, this is 
where most analysts struggle.

They hand over beautiful graphs 
that look like art, but say nothing.

They present insights that sound 
smart, but mean nothing to the 
people who actually need them.

In real life, stakeholders are not 
Looking for fancy dashboards.

They are looking for clarity.
Confidence.
Direction.

The founder wants to know:
Are we losing money or not?

The product manager wants to know:
What’s the real problem? 
Feature or user behavior?

The marketing lead wants to know:
Where should we double down?

They want answers.
Not charts.
Not jargon.
Not complexity.

And that’s where great analysts stand out:
We translate numbers into stories.

We make insights human.
We remove fear and replace
It with understanding.

Because data is not powerful
until people can use it.

And people can’t use what 
They don’t understand.

So yes
Ask me about communication.

Ask me how I bridge the gap 
between data and decision.

Because the real value of analysis 
Isn’t the dashboard you build
It’s the clarity you deliver.

How do you communicate your insights to non-technical people?

PS: A dashboard is only as powerful as the story you can tell with it.

By the way

If you want to see what I’m building beyond data 
especially around communication, 
Check out my YouTube channel.

Click here to explore it.
https://lnkd.in/dxkBPbuN
And please Like, Subscribe 
and hit the notification bell.

— Onyinyechi Obi
 #DataAnalytics #DataCommunication #StorytellingWithData #Fintech #BusinessInsights #AnalystLife #ClarityOverComplexity #DecisionIntelligence #CalmAuthority

What do you know about Artificial Intelligence?
I'm not talking about Chat GPT

Let me tell you the uncomfortable truth 

Nobody wants to say out loud:

AI isn’t coming for your job
It’s coming for your process.

And if your process hasn’t evolved 
You’re already behind.

Here’s how I use AI in my workflow 
(and why it matters to leaders)

✅ AI handles the repetitive 
I handle the strategic.
Bulk-cleaning
Outlier detection
First-layer summaries

✅ AI accelerates exploration 
I uncover meaning.
AI can scan 80k rows for anomalies
But it can’t tell you why your revenue dropped 18%

✅ AI runs simulations 
I frame decisions.
It predicts churn
I determine what actions prevent it

That’s the difference between automation and judgment.
Between models that run
and leaders that decide.

The real danger isn’t AI.
It’s analysts who refuse to evolve.

Because founders aren’t 
hiring “hard workers” anymore.

They’re hiring decision accelerators.
Someone who can take AI’s speed
and add their own experience
and translate data into direction.

That’s what makes you irreplaceable.
That’s what makes you valuable.
That’s what keeps you in the room 
When strategy is on the table.

Here’s the question every leader is quietly asking:
“Can your analysis keep up with the pace of the business?”
If the answer is “no”
AI is not your threat.
Your lack of adaptation is.

Are you already using AI in your daily workflow? 

Onyinyechi Obi (The Analyst)
 Helping Tech Leaders & Startups turn messy data into clear decisions 🚀
 #ArtificialIntelligence #DataAnalytics #DecisionIntelligence #StartupLeadership #FutureOfWork #BusinessIntelligence #DataDrivenDecisions #AnalyticsLeadership #AIinBusiness

Behind every successful decision is someone 

who looked at the data differently.

Last year, I worked with a fintech startup 
They were actually struggling 
with what looked like a scary drop 
in user activity.
 
Everyone was convinced the 
product was failing 

the CEO thought it was a feature problem, 
the product team blamed a competitor, 
and the marketing team was ready to 
overhaul their entire strategy.

But something didn’t sit right with me.
So instead of asking What went wrong?, 
I asked, What are we not seeing?

I put on my third eye
my analytical eye

That’s when I noticed a quiet 
pattern no one paid attention to:

Users weren’t leaving
they were shifting. 

A large segment had started using the app 
late at night instead of during the day.
(YouTube night users will understand this)
 Not churn behavior change.

And tucked inside that shift was the real
 opportunity: a new group of users who 
needed faster nighttime support.

Once the team made that one small adjustment, 
activity didn’t just recover, it grew.

Most people think data breakthroughs 
come from big tools or complex models 

but the truth is, the magic often lies in perspective. 
In the willingness to question the obvious 
instead of panicking about the surface.

Here’s how I approach moments like this:

1. Slow down before diving in.
2. Ask the question everyone is afraid to ask.
3. Look for the quiet pattern hiding behind the loud metric.

Decisions become powerful when you notice what others rush past.
What’s your unique angle when analyzing data?

PS: Today is Wednesday, How’s your energy today be honest??

Meanwhile check out my YouTube link
at the comment and hit the subscribe button for support.
—------------------------------------------------------------------
 Onyinyechi Obi (The Analyst)

 #DataAnalytics #DecisionIntelligence #BusinessInsights #DataStorytelling #Leadership #CalmAuthority #AnalystLens #ThinkDifferently

Ever looked at your dashboard
and felt a quiet sense of pride.


Everything looks good, 
The numbers are glowing 
 
yet something in your gut whispers: 
“This can’t be right.”

You’re not overthinking it.
That’s data lying 
and you don’t even know it.

Because not every clean chart tells the truth.

Sometimes, what looks like growth is 
just noise dressed up in confidence.

Sometimes, what seems like progress 
is actually hiding a deeper leak.

In my latest article, I unpack the silent 
crisis behind “good numbers” 

and how smart founders and teams 
can stop being misled by their own dashboards.

 Onyinyechi Obi (The Analyst)
 Helping Tech Leaders & Startups turn messy data into clear decisions 

#DataAnalytics #DecisionIntelligence #StartupGrowth #BusinessIntelligence #DataDrivenLeadership #DataStorytelling #BIStrategy #AnalyticsLeadership #TechFounders #InsightToImpact

(The Silent Crisis Behind “Good Numbers” That Kill Growth) A few months ago, a founder looked at me during a strategy session and said: “We have more 

Open article: When Data Lies And You Don’t Even Know It by Onyinyechi Obi (The Analyst) • 3 min read

When Data Lies And You Don’t Even Know It

You can learn SQL.
Power BI.
Statistics.

But no course teaches you 
how to sit in a meeting
knowing the numbers are wrong
 
and no one wants to hear it.
That skill?

You must teach yourself.
Because it’s the skill that 
puts you in control of your reports.

No class prepares you for:
• The silence after you say,
 Retention is dropping.
 That kind of silence 
where you can hear a pin fall.

• The eye rolls when you ask,
 Where did this data come from?
 As if data source doesn’t change everything.

• The pressure to nod along
when leadership celebrates a metric
that doesn’t move the needle.

So you let them celebrate.
Then quietly say,

The battle is not won yet.
Because real data work isn’t just logic.
 It’s courage.

I’ve been there.
More times than I can count.

I’ve watched dashboards glow green
while churn burned quietly underneath.

Only an analytical eye could see it.
I pointed it out.

Gently at first.
Then firmly.
Then alone.

Until one day my boss, 
frustrated, asked:
Why does no one else see what you see?

And I answered:
Because most people don’t want truth.

They want comfort.
They want cheering news.”

Here’s what they don’t teach you as a Data Analyst:
Data is not the enemy of growth.
False confidence is.

Insight doesn’t win by volume.
It wins by persistence.

You don’t have to shout.
You just have to keep showing up 

with clarity, consistency, and conviction.

Don’t wait for permission to speak.
If the number is wrong 
say it.
If the trend is fake 
name it.

If no one acts 
keep speaking.

Because one day, 
someone will lean over and whisper:
Thank you for not staying silent.

Have you ever been the only one who saw the truth in your analysis?

Onyinyechi Obi (The Analyst)
Data Analytics & BI Consultant | Helping leaders turn messy data into confident decisions

#DataAnalytics #QuietPower #TruthOverHype #BIConsultant #DecisionMaking #InsightDriven #SpeakUp #DataIntegrity #LeadershipCourage

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