Project/Customer Success professional with a proven track record of building strong stakeholder relationships, excellent written and verbal presentation abilities, and deep problem-solving skills while delivering projects on time with proper documentation.
Location: Houston, TX
Remote: Yes
Willing to relocate: No
Technologies: MarTech tools, SQL, python, Tableau
Résumé/CV: https://www.linkedin.com/in/rickeydidio/
Email: rickeydidio@gmail.com
Professional Services can be a challenge. It's hard to serve two masters but I enjoy walking that tightrope of balancing the customer needs and the business needs. I also take pride in knowing that once the checks are signed, I am on the front lines of delivering an exceptional experience. Every interaction is essentially a tryout for extending the business relationship.
My last role was managing MarTech implementation projects with tools like Segment and Pendo for companies like Barstool Sports, Weedmaps, Boosted Commerce, and The Washington Post. This covers creating project roadmaps, managing scope, conducting weekly meetings, creating data taxonomies, setting up third party integrations, creating deliverables and documentation, training the clients on different technology, and most of all.. helping clients reach their goals. Prior to this I worked a mixture of roles in data analytics, business development, and project management so I have spent a lot of time in front of clients.
Data consultant with a proven track record of building strong stakeholder relationships, excellent written and verbal presentation abilities, and deep problem-solving skills while delivering projects on time with proper documentation.
Location: Houston, TX
Remote: Yes
Willing to relocate: No
Technologies: MarTech tools, SQL, python, Tableau
Résumé/CV: https://www.linkedin.com/in/rickeydidio/
Email: rickeydidio@gmail.com
Professional Services can be a challenge. It's hard to serve two masters but I enjoy walking that tightrope of balancing the customer needs and the business needs. I also take pride in knowing that once the checks are signed, I am on the front lines of delivering an exceptional experience. Every interaction is essentially a tryout for extending the business relationship.
My role that just ended was managing MarTech implementation projects for tools like Segment and Pendo with companies like Barstool Sports, Weedmaps, Boosted Commerce, and The Washington Post. I'm certified with Mixpanel, customer.io, and ABTasty. I have intermediate SQL skills and enough JavaScript ability to troubleshoot track events, APIs, and have technical conversations with engineers. Before that I worked a mixture of roles in analytics, business development, and project management so I have spent a lot of time in front of clients.
I don't want to be Conspiracy Guy here but I read that the officers on the scene fired 26-27 shots into the classroom where the shooter was. 26-27 sounds like a LOT of shots. I get it that this isn't some sniper rifle on Call of Duty but is this going to end up like a Pat Tillman situation where we find out later that one of these kids was hit by friendly fire? Where did those 26-27 shots end up? Sounds a bit reckless in those close confines without more details.
I share this sentiment minus the complexity part. I usually have documentation up as well and am looking to see what fits with what I envisioned beforehand.
It was surprising to see Pandas listed multiple times in top 10 tags since I feel like the documentation is pretty straight forward.
Former recruiter, current data analyst here… recruiters do that for 2 reasons.. 1) when you call someone it is immediate and you control the process. They aren’t waiting for you to email back. 2) recruiters want your “buy in”. It’s old school bs but if you can’t make time for a phone call then how committed are you to the process. Having said that, I’m currently looking and receive 10+ calls and emails a week. I rarely answer the calls or reply to emails but if the email is interesting to me and looks like a fit then I reply and ask them to call when they can.
Well, you just described the process for most programmers: we want to first see if we are interested and only then schedule a phone call. Pressuring me into a phone call just nets you a generic "let me get back to you" and 90% of the time I never do.
I am not committed to their process, not to the process, you know?
You're right on the money. Plus, most people want to see if the role is actually a fit. 50% of the roles I receive are data pipeline and BI infrastructure roles. I'm on the analytics side but because SQL is on my resume, it comes up in their searches. Majority of recruiters don't know the different so of course I don't want to waste 10-15 minutes on each of these calls.
I love it when I apply for a lot of jobs in one day, get a lot of rejections, then check the traffic on my GitHub and there’s minimal traffic. I guess at some point it pays off but it sure seems like climbing a mountain to get there.
I am American and this was my first thought when reading the headline. “Why is the FBI involved?” I can understand the CIA, like you said. So weird but a sign of our times.
FBI is just "the police", so it's very normal and happens all the time that police experts from one country are invited to help investigate crime in another country.
When I hear CIA, I think coercion to collect information, most usually information to be used to coerce somebody else. When I hear FBI I think coercion to instigate what will be well-publicized conspiratorial crime. Actual espionage and investigation are decidedly secondary activities.
This is spot on. As someone who has been looking for a data analyst role, I’ve actually read quite a few DS reqs that were geared more towards infrastructure and ETL. Then the flip side with the DE reqs wanting NumPy and Pandas along with the infrastructure and ETL. Weird, right?
My last role was managing MarTech implementation projects with tools like Segment and Pendo for companies like Barstool Sports, Weedmaps, Boosted Commerce, and The Washington Post. This covers creating project roadmaps, managing scope, conducting weekly meetings, creating data taxonomies, setting up third party integrations, creating deliverables and documentation, training the clients on different technology, and most of all.. helping clients reach their goals. Prior to this I worked a mixture of roles in data analytics, business development, and project management so I have spent a lot of time in front of clients.