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 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 just finished my Data Analytics Internship; how can I improve my chances of landing my first Data Analytics role?


(questions I often got inbox)

Here are always my kind responses

Congratulations once again for taking the data Analytics path 

and completing your coursework and even your internship.

Landing your first data analytics role comes easily most time and is difficult some other times.

It all depends on how you distinguish yourself and maximize opportunities.

But while getting yourself ready to land a job 

Keep practicing what you have learned.

Don’t stop improving on your

✅Data wrangling skills - 
✅SQL mastery 
✅Data visualization 
Beyond the technical skills, 

increase your 

>Curious mind
>Communication skills
>Teamwork.

Keep building on projects that solve problems and give insight.

And don’t forget to share your wins with us.

What else are my missing? 

Please add in the comment she is interested in this post.

Share with your network, it might be saving someone.

P.S. I'm Onyinyechi Obi, a Data Analyst passionate about helping businesses unlock growth through strategic data analysis! With my expertise in SQL, Tableau, Power BI, and Python, I've empowered tech startups to achieve sustainable growth, even increasing SaaS user growth by 25% with data-driven insights!

#dataanalyst #dataanalysis #datascience #careeradvice #entrylevel #lookingforopportunities

Onyinyechi Obi

Data Analyst |Business Intelligence Pro| Increased SaaS user growth by 25% with data-driven insights |Empowered 3 tech startups to achieve sustainable growth through strategic data analysis SQL, Tableau, Power BI, Python

Five Key Analytical Skills No One Told You You Needed


(to be an Outstanding Data Analyst)

In my last post, I wrote about how it is easy to master Data Analytical tools

Than it is to use these tools to solve problems

In case you miss the post, you can check it in the comment section.

Having Mastered the tools in data analytics should never be enough,

You need to stand out from the crowd by having these five skills and leverage 

them for impactful results:

What are the skills?

✅Curiosity: 

Always learn how to ask questions!
Be eager to know more than the data is telling you.


✅Understand the Context: 

Understand the bigger picture.
Know the condition of the data and interpret it effectively.

✅Have a Technical Mindset: 

Perfect your SQL, data visualization (Tableau, Power BI) & programming (Python) skills. These are your analytical toolkit!

✅Data Design Matters: 

Organize your data for clarity. A well-designed dataset unlocks powerful discoveries.

✅Data Strategy, Not Just Tactics: 

Go beyond the numbers. Develop a roadmap to leverage data for long-term business success.

Which of these skills do you find most challenging to master?  Let's discuss this in the comments!

P.S. I'm Onyinyechi Obi, a Data Analyst passionate about helping businesses unlock growth through strategic data analysis! With my expertise in SQL, Tableau, Power BI, and Python, I've empowered tech startups to achieve sustainable growth, even increasing SaaS user growth by 25% with data-driven insights!

Let's chat and see how I can help YOU turn YOUR data into a powerful tool for success!

Share this Post if you find it valuable, someone in your network needs it. 


#DataAnalysis #BusinessGrowth #DataDrivenDecisions #AnalystLife #thrivewithtomide

You are a Data Analyst


(Even without knowing that)
 
When you hear the title "Data Analyst" 

Your mind will go to images of complex software and large datasets, 

the truth is, that we all act as analysts in our daily lives.

Here's how:

→ Data Gathering:

🌟 Personal Finances: We track expenses (receipts, bank statements) to understand spending habits.
🌟 Groceries: We note what items are on sale to make informed purchases.
🌟 Traffic: We consider past commutes (mental note, GPS data) to choose the fastest route.

→ Analysis and Decision Making:

🌟 Cooking: We assess the ripeness of fruits (visual cues) to decide if they're ready to eat.
🌟 Weather: We observe the sky (cloud cover, wind) to predict if it will rain and dress accordingly.

The only difference is that 

Professional Data Analysts like me take this a step further:

By Using 

→ Scale and Tools: I deal with massive datasets (customer information, market trends) using specialized software.
→ Advanced Techniques: I have to employ statistical analysis, and machine learning to uncover hidden patterns and predict future trends.

In essence, everyone uses analytical skills in daily decision-making. 

Data analysts like me leverage this same core concept with powerful tools and vast data sets to extract knowledge valuable for businesses.

So now you know that analytical thinking is a fundamental human capability, utilized on different scales for various purposes.

Next time you call yourself a Data Analyst, you might not be wrong. 

That someone takes the Job of driving, catering, laundry Man, and so on does not mean we are not doing these things in our everyday lives, 

it just means we are not using it to serve others and in a large quantity to get paid.

Do you agree with me on this Analysis?

Share your Thoughts in the comment box.

If you are coming across my post for the first time 

I'm Onyinyechi Obi, your Data Analyst & Business Intelligence expert! I help SaaS companies grow 25%+ using data and empower tech startups to thrive with strategic analysis. I'm fluent in SQL, Tableau, and Power BI. Let's unlock your data's potential together


 #dataanalysis #datascience #thrievewithtomide

Are you a Strategic Data Analyst, or a backyard Data Analyst?


The rate people are rushing into Data analysis every day, 

That's a good one, but the problem is that most of them 

are coming through the backyard, 

they just take one or two courses and watch YouTube videos

and Boom their headline will carry Data Analyst.

but they lack the depth and strategic thinking to truly unlock data's potential.

Here's what separates the "backyarders" from the impactful data analysts:

Beyond the Tools: 

Understanding the "Why"

It's great to know how to use fancy data analysis tools like SQL or Python. 

But the true magic lies in understanding where and how to use them to achieve specific goals. 
Ask yourself:

• Am I just manipulating data,
• or am I extracting actionable insights?
•  Do I understand the underlying principles of these tools?
• Can I clearly define the problem I'm trying to solve with data analysis?

Sharpen Your Strategic Lens

Data analysts aren't just data wranglers; 

they're strategic partners. 

They can:

—>Translate business questions into data-driven solutions.
—>Think critically about data quality and potential biases.
—>Communicate complex findings to both technical and non-technical audiences.
—>Become a Master Storyteller

By focusing on the "why" and "how" behind data analysis, you can transform 

from being a "backyarder" to a strategic asset.

So which one are you in your field, a strategic asset or a "backyarder"

Meanwhile Hope you had a wonderful weekend.

I'm Onyinyechi Obi, a Data Analyst who thrives on helping businesses unlock growth through strategic data analysis. With my expertise in SQL, Tableau, Power BI, and Python, I've empowered 3 tech startups to achieve sustainable growth and even increased SaaS user growth by 25% with data-driven insights!

Let's chat and see how I can help you turn your data into a powerful tool for success.

#dataanalysis #dataskills #careeradvice #thrievewithTomide

Are you considering visualizing your data?

(here are things to know)

To communicate your data effectively, you should think about visualizing it.

you don't just wake up and start designing fancy dashboards, you must first of all consider,

Clarity:  Charts and graphs simplify complex information, making it easier to understand for everyone.

Insights: Visualizations reveal hidden patterns and trends that might go unnoticed in raw data.

Storytelling: Data visualizations bring your message to life, making it more engaging and memorable.

Decision Making: Clear visuals highlight key points and comparisons by supporting better decision-making.

Ready to visualize your data? 
make sure you understand the type of visualization to use and know why you should be using any of them.

📌Bar Charts: Ideal for comparing categories.
📌Pie Charts: Show parts of a whole.
📌Scatter Plots: Reveal relationships between variables.
📌Line Charts: Track trends over time.
📌Maps: Showcase geographic data.

Remember: Choose the visualization that best conveys your message and unlocks the insights within your data!

you can choose to visualize your data by yourself but the best thing to do is to seek the services of an expert.

Let's discuss this in the comments! What is your favorite data visualization type, which one do you use often and why?

Share with your network, it might be saving someone.

P.S. I'm Onyinyechi Obi, a Data Analyst passionate about helping businesses unlock growth through strategic data analysis! With my expertise in SQL, Tableau, Power BI, and Python, I've empowered tech startups to achieve sustainable growth, even increasing SaaS user growth by 25% with data-driven insights!

#datavisualization #dataanalysis #datascience #communication

Whether a domestic mother or a working-class mother, we are all doing well.


Yesterday we did our Mothering Sunday and my heart was filled with so much joy.

The task of motherhood is what most times people don’t really appreciate.

Society now values women based on what they bring to the table.

The Men of today, when about to get married would ask this first question.

What are you doing for a living? 

In order words what financial impact can you make.?

Being a mother a full-time work.

If you have ever paid for surrogacy, the payment runs in millions.
 
And yet that woman that bore you or bore children for you,

You have never paid her a dime or even treat her well.

And appreciate her

Motherhood is a full-time job

And if yours is doing extra-thing to earn money, it's an added advantage.

How can one person Be a

📍Nanny
📍Cook
📍Dry cleaner
📍Nurse 
📍Domestic cleaner
📍“Bed warmer” 
📍Akara winner (Since the men are breadwinner)

And so much more yet, they are still happy doing it 

and believe me the little you can do to them is to appreciate them, 

because if you hire someone for all these tasks

You will pay much.

Celebrate all the women in your life.

Womanhood is a pride, 

—>Give us a baby boy we give you back a full-grown man
—>Give us a baby girl and we give you back a nation 
—>Give us a sperm we give you back a full human being (quadruplet)
—>Give us a house we give you a home and a family.

I love being a woman. 

Happy New Week

#womanhood #motherhood #moms #mondaypost


 

There is no rigid step-by-step method for learning Data Analysis.

(I learn SQL first)

Maybe because when I started learning, it was database Administration so the focus was mainly on SQL

So I learned SQL first and mastered it. I didn't learn any visualization tools then

fast forward to when I transition to data analysis properly.

I learned PowerBi and Tableau and then realized that the basic idea I have on Excel is not enough

I had to go back to learning advanced Excel.

So forget the rigid order! 

The key to data analysis is understanding how the tools fit together, 

not which one to learn first.

Here's the truth: Whether you start with Excel, SQL, Power BI, or Tableau, 

you'll be a data analyst as long as you grasp the bigger picture. 

Here's why:
🔹They all solve different problems.
🔹Technical skills are interchangeable.
🔹The best order is your order.

Know when to use which tool.

📌Need to clean and manipulate data? SQL is your hero.

📌Want to build interactive dashboards? Power BI and Tableau have your back.

📌Do you have to manage everyday spreadsheets? Excel is your trusty companion.

No matter where you start, focus on building a strong foundation in data analysis fundamentals. 
.
So, in which order did you learn data analysis? share on the comment and don't forget to repost to your network, someone there may need this.

 I'm Onyinyechi Obi, a Data Analyst.  Passionate about helping businesses unlock growth through strategic data analysis! With my expertise in SQL, Tableau, Power BI, and Python, I've empowered tech startups to achieve sustainable growth, even increasing SaaS user growth by 25% with data-driven insights!

#DataAnalytics #Learning #CareerGoals #SQL #Excel #PowerBI #Tableau

As a data Analyst, you must get used to some terms 


(Because you will use them every day) 

Even if you used to be scared of large numbers, 

you will get over it if you are looking at a career in Data Analytics.
 
Here are 8 Data Analytics terms you should be very familiar with just the way you know your name:

📌Cleanse: It's fixing typos and making sure your information is clear and organized.

📌Analyze: Analyzing data is finding patterns and connections between all those pieces of information.

📌Visualize: Think charts and graphs! Visualizing data is like making a picture of your findings, so it's easy for everyone to understand.

📌Transform: Need to rearrange your data to answer a specific question? Transforming data is like moving furniture around in your room to make space for something new.

📌Correlate: This is like figuring out if two things are connected. Maybe more website visitors lead to more sales? Correlation helps you see these relationships.

📌Predict: Predicting data is similar - using your analysis to guess what might happen next.

📌Interpret: Data can talk, but sometimes it whispers! Interpreting data is like explaining what the information means and how it can be used.

📌Extract: Extracting data is like pulling out that one recipe card you need from a huge cookbook.

Share your favorite data term in the comments below.

P.S. I'm Onyinyechi Obi, a Data Analyst passionate about helping businesses unlock growth through strategic data analysis! With my expertise in SQL, Tableau, Power BI, and Python, I've empowered tech startups to achieve sustainable growth, even increasing SaaS user growth by 25% with data-driven insights!

#DataSkills #MakeSenseofData #EveryoneCanLearn

What they Told you about Data Analytics


(what you should know about Data Analytics)


There are lot of misinformation about this powerful field of data analytics. 

Many of these error messages we told ourselves, other people misinformed us. 

But don't worry now that you are here let me help you to know better.


✖ Only Big Companies Need Data Analytics 


✔any organization can benefit from data analysis. 


✖Data Analytics Predicts the Future Perfectly

✔The key is to use data for informed decision-making, not fortune-telling.

✖Data Analytics is a One-Time Project

✔ Data Analytics is an ongoing process of collecting, analyzing, and refining insights to stay ahead of the curve.

✖Data Analytics Requires Coding Expertise

✔While coding skills are valuable, many user-friendly data analytics tools exist today. The ability to ask the right questions and interpret results is just as crucial.

✖Data Analytics is a Threat to Jobs

✔Data analysts are more like data storytellers, uncovering insights that empower human decision-making. It's about working alongside technology, not being replaced by it.

By understanding these truths, you can leverage the power of data analytics to take your career or organization forward. 

What data myths have you encountered? Share your thoughts in the comments! Don't forget to repost to your network, someone there needs it.

Coming across my post for the first time? I'm Onyinyechi Obi, the Data Story Teller.

Follow me and hit the notification bell so you don't miss out on my valuable posts!

 #dataanalysis #datascience #careers #businessintelligence #datarevolution #datadriven #businessinsights #careeradvice

Tired of staring at static dashboards?  

Make them interactive AND beautiful with slicers! ✨

Slicers are like control panels for your data, 

letting users explore and filter with ease.  

Imagine deeper insights, clearer trends, and dashboards that actually engage your audience.

Click to read more in our latest newsletter!  

You'll discover:

How slicers make dashboards interactive and user-friendly

Best practices for using slicers in Excel and Power BI

Tips for creating stunning dashboards that wow your viewers

Don't forget to subscribe and share with your network!

 #dataanalysis #slicers #interactivedashboards

Working on any data-related project doesn’t have to look so serious again. interactive dashboards have become a cornerstone of informed decision-makin

Open article: How Slicers Make Your Dashboards Interactive and Beautiful by Onyinyechi Obi • 3 min read

Onyinyechi Obi on LinkedIn • 3 min read

How Slicers Make Your Dashboards Interactive and Beautiful

The significance of data quality in today’s data-driven environment is quite impossible to emphasize. 

The quality of data becomes more crucial when organizations, businesses, and individuals depend more and more on it for their work.

This article gives a detailed idea of what is data quality. its importance, and the essential procedures for making sure the data we use is correct, reliable, and appropriate for the reason for which data was collected.

Data is the backbone of any organization, But data is only as valuable as the quality of the information it provides. Inaccurate or incomplete data ca

Open article: The Place of Data Quality in Data Analytics by Onyinyechi Obi • 7 min read

Onyinyechi Obi on LinkedIn • 7 min read

The Place of Data Quality in Data Analytics

How Fear Fueled My Success.


(Fear gave me my greatest push in Life.) 

As a student, everyone in my class used to call me a "hyper jacker" 

a slang used to describe the 'A' parallel students, 

the most brilliant students, and because they have been seeing me as one. 

But that title wasn't a badge of honor, it was a burden. 

I didn't want to disappoint them, the fear of failing became my relentless motivator. 

The thought of my name on the "failed" list fueled my late nights studying. 

I hated the idea of retaking exams, and cheating was never an option – the fear of getting caught was terrifying. 

These anxieties pushed me to become the best version of myself in school.

Fast forward to graduation and making it successfully, another fear started

setting in, the fear of poverty, which is my greatest fear so far and it has been helping me to work harder than usual.  

You might see me going the extra mile for my clients, providing exceptional solutions – that's because I can't stand the thought of a life without fulfillment.

Fear can be crippling, but it can also be a powerful force. 😊

It's shown me that true growth lies just beyond our comfort zones. 

This journey isn't over, and new fears will undoubtedly arise. 

But I'll face them head-on, because I've learned that fear can be the greatest push towards achieving my dreams.

Find this valuable? share/repost to your network.

Meanwhile, what has been your greatest fear in life?

Happy Easter Celebrations to Christian Faithfuls. 


#fearless #motivation #growthmindset #success #thrievewithtomide

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