Everything your data team does, in one sentence.

Reads the failed dbt run and error log, creates a Linear issue tagged to the owning team, and posts a link with the failure details to the data-eng Slack channel.

Pulls dbt model column descriptions and Looker LookML field labels, compares them, and posts a Slack list of mismatched or missing definitions.

Collects merged GitHub PRs touching the pipeline repo, summarizes each change, and appends dated entries to the Confluence changelog page.

Queries Snowflake access history for unused tables, cross-references dbt model ownership, and drafts a deprecation proposal in a new Google Doc.

Reads the Sentry error trend, matches the timing to recent GitHub deploys on the ingestion repo, and posts a correlation summary to the on-call Slack channel.

Scans BigQuery table metadata for missing owner labels, groups gaps by dataset, and creates one Jira ticket per owning team with the affected tables.

Queries Snowflake staging and production row counts, computes the percentage delta per table, and posts any tables exceeding the threshold to Slack.

Reads pending requests from the Notion intake database, drafts scoped acceptance criteria, and creates linked Linear issues on the analytics engineering project.

Parses dbt model and test configs to find untested models, tallies coverage by folder, and posts the gap list to the data-quality Slack thread.

Lists Amplitude event names, diffs them against the dbt source schema, and opens GitHub issues for events present in Amplitude but missing from the schema.

Gathers resolved Sentry incidents and their linked Linear fixes, then compiles a dated review agenda in a Google Doc.

Reads Looker dashboard last-refresh times, evaluates them against SLA thresholds, and updates the status column on the Notion monitoring page.

Detects dbt model changes in the GitHub PR, traces downstream Looker dashboard dependencies, and posts the impacted dashboard list as a PR comment.

Queries Salesforce closed-won opportunities, computes week-over-week deltas, and writes them into a formatted Google Sheet for the meeting.

Pulls funnel conversion rates from Mixpanel, identifies the largest week-over-week changes, and sends a formatted digest email to the growth team via Gmail.

Pulls Stripe subscription charges and Salesforce closed-won bookings, matches them by account, and writes unmatched or divergent records to a Google Sheet.

Queries Zendesk ticket counts by category over the week, computes trends against the prior week, and posts a summary to the CX Slack channel.

Reads unhandled data-request emails from the shared Gmail inbox, extracts requester and ask, and appends a categorized row per request to the Google Sheets tracker.

Pulls GA4 signup counts and HubSpot lead counts for the prior day, computes the discrepancy, and emails a gap alert via Gmail when it exceeds the threshold.

Reads current KPI values from the Looker executive dashboard, compares them to targets, and drafts a narrative section in the board metrics Google Doc.

Compares row counts and freshness between the source tables and the warehouse for yesterday's load, and posts any gaps to the data Slack channel.

Pulls closed-deal call transcripts from Gong, extracts recurring win and loss reasons, and posts the ranked themes to the revenue Slack channel.

Reads failed-payment accounts from Stripe, matches them to Salesforce account owners, updates the account with a dunning flag, and Slack-messages each owner.

Pulls Mailchimp campaign open and click rates, joins them to Salesforce opportunities created in the window, and writes the attribution table to a Google Sheet.

Pulls cash balances from QuickBooks and card spend from Ramp, assembles a daily snapshot, and posts it to the finance-ops Slack channel.

Pulls Brex transactions, matches merchants to the NetSuite vendor master, and emails finance a Gmail list of charges with no matching vendor.

Queries churned accounts from Snowflake, enriches each with firmographic data from Bowtie, and writes the combined churn profile to Google Sheets.

Pulls experiment cohort metrics from Amplitude, computes lift and significance, and drafts a findings writeup in a Notion page.

Reads current model evaluation metrics from BigQuery and linked Jira tickets, then compiles a feature-review brief in a Google Doc.

Reads the Sentry training-job error, identifies the affected dataset, and creates a Linear issue with the stack trace and dataset details.

Joins model lead scores from Snowflake with realized HubSpot conversions, computes calibration drift, and posts the summary to the data-science Slack channel.

Pulls declining usage cohorts from Mixpanel and conversation sentiment from Intercom, ranks accounts by risk, and drafts a briefing in a Google Doc.

Pulls the experiment cohorts from Amplitude and revenue from Stripe, computes lift and significance, and writes the readout in a Google Doc.

Combines Mixpanel experiment metrics with decisions extracted from the Fathom meeting transcript and drafts a readout email in Gmail.

Queries BigQuery for failed feature-store validation records, maps each feature to its owning team, and routes an alert to the right Slack channel.

Extracts action items from the Zoom meeting recording transcript and creates assigned Jira tickets on the modeling project.

Reads newly labeled examples from the Notion annotation database, loads them into the Snowflake training table, and posts the updated row count to Slack.

Pulls new HubSpot trial signups, enriches each with company size from Bowtie, scores them, and loads the results into a Snowflake table.

Reads current headline metrics from the Looker dashboard, writes week-over-week commentary, and posts the summary to the leadership Slack channel.

Pulls Marketo program costs and NetSuite booked campaign expenses, matches them by campaign, and writes variances above threshold to a Google Sheet.

Pulls engagement metrics from Amplitude and Mixpanel, reconciles overlapping definitions, and compiles the monthly usage narrative in a Google Doc.

Detects the failing Looker dashboard query, creates a Jira ticket with the error, and sends the requesting stakeholder a Slack notification.

Queries Salesforce bookings and quota data, computes attainment per rep in the standing Google Sheet, and flags reps below the pace threshold.

Pulls new, expansion, contraction, and churned subscriptions from Stripe, categorizes each movement, and updates the MRR waterfall in Google Sheets.

Pulls active employees from Workday and provisioned accounts from Okta, matches by employee, and emails HR a Gmail list of unmatched records.

Reads Looker report view history, identifies reports unused for six months, and logs the deprecation list to a Confluence page.

Reads dashboard-request messages from the Slack channel, extracts priority and requester, and creates Asana intake tasks with those fields populated.

Reads per-account metrics from Looker, groups them by owner, and drafts a QBR summary section per owner in a Google Doc.

Compares the customer roster in Google Sheets against active HubSpot accounts, marks entries that are no longer active, and writes the reconciled status back.

Pulls checkout error trends from Sentry and conversion metrics from GA4, correlates the timing, and posts a combined summary to the ecommerce Slack channel.